Image processing and compression techniques
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This document discusses image processing and provides examples of its applications. It covers the following key points: 1) Image processing involves analyzing and transforming images and can be used to extract information. The Mars Exploration Rover mission used image processing to compress and send images back to operators on Earth. 2) There are three main types of image processing: image-to-image, image-to-information, and information-to-image. Color spaces and compression techniques like Huffman coding are also discussed. 3) Huffman coding assigns variable length codes to characters based on their frequency, allowing for more common characters to be encoded with fewer bits and improving compression without loss of information. It has numerous applications including in
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APPLICATION OF CONVOLUTIONAL NEURAL NETWORK IN LAWN MEASUREMENT
Lawn area measurement is an application of image processing and deep learning. Researchers used hierarchical networks, segmented images, and other methods to measure the lawn area. Methods’ effectiveness and accuracy varies. In this project, deep learning method, specifically Convolutional neural network, was applied to measure the lawn area. We used Keras and TensorFlow in Python to develop a model that was trained on the dataset of houses then tuned the parameters with GridSearchCV in Scikit- Learn (a machine learning library in Python) to estimate the lawn area. Convolutional neural network or shortly CNN shows high accuracy (94 -97%). We may conclude that deep learning method, especially CNN, could be a good method with a high state-of-art accuracy.
Ijmsr 2016-10
The Journal of MC Square Scientific Research is published by MC Square Publication on the monthly basis. It aims to publish original research papers devoted to wide areas in various disciplines of science and engineering and their applications in industry. This journal is basically devoted to interdisciplinary research in Science, Engineering and Technology, which can improve the technology being used in industry. The real-life problems involve multi-disciplinary knowledge, and thus strong inter-disciplinary approach is the need of the research.
Alberto Massidda - Images and words: mechanics of automated captioning with n...
Image captioning is the process of generating textual description of an image. It uses both Natural Language Processing and Computer Vision to generate the captions. Like in the notorious “finger pointing to the moon”, automated image captioning requires the ability to discern what it’s really going on in a scene and generate a fluent description for the act taking place. In this talk we present the underlying mechanics to the object detection and language generation using Convolutional and Recurrent Neural Networks.
A Biometric Approach to Encrypt a File with the Help of Session Key
The main objective of this work is to provide a two layer authentication system through biometric (face) and conventional session based password authentication. The encryption key for this authentication will be generated with the combination of the biometric key and session based password.
Automated Neural Image Caption Generator for Visually Impaired People
This document describes a neural network model for generating image captions to help visually impaired people understand images. A convolutional neural network extracts image features, which are fed into a recurrent neural network or long short-term memory network to generate natural language captions. The model achieves state-of-the-art performance on image captioning tasks and has the potential to greatly improve the lives of visually impaired individuals by allowing them to understand images through automatically generated captions.
A brief introduction to extracting information from images
This document provides an introduction to extracting information from images. It discusses how images are represented digitally in computers and various techniques for extracting features from images, including lower-level features like color histograms and higher-level features like faces. Examples are given of feature extraction algorithms for faces and image composition. The document also discusses representing images using "bags of visual words" modeled after text analysis and introduces two open-source tools, OpenIMAJ and ImageTerrier, for image analysis.
Mirko Lucchese - Deep Image Processing
This document summarizes a presentation on deep image processing and computer vision. It introduces common deep learning techniques like CNNs, autoencoders, variational autoencoders and generative adversarial networks. It then discusses applications including image classification using models like LeNet, AlexNet and VGG. It also covers face detection, segmentation, object detection algorithms like R-CNN, Fast R-CNN and Faster R-CNN. Additional topics include document automation using character recognition and graphical element analysis, as well as identity recognition using face detection. Real-world examples are provided for document processing, handwritten letter recognition and event pass verification.
Sign Language Recognition Using Image Processing For Mute People
Abstract: Computer recognition of sign language is an important research problem for enabling communication with mute people. This project introduces an efficient and fast algorithm for identification of the number of fingers opened in a gesture representing an alphabet of the Binary Sign Language.
The system does not require the hand to be perfectly aligned to the camera. The project uses image processing system to identify, especially English alphabetic sign language used by the mute people to communicate. The basic objective of this project is to develop a computer based intelligent system that will enable mute people significantly to communicate with all other people using their natural hand gestures.
The idea consisted of designing and building up an intelligent system using image processing, machine learning and artificial intelligence concepts to take visual inputs of sign language’s hand gestures and generate easily recognizable form of outputs.
Hence the objective of this project is to develop an intelligent system which can act as a translator between the sign language and the spoken language dynamically and can make the communication between people with mute and normal people both effective and efficient. The system is we are implementing for Binary sign language but it can detect any sign language with prior image processing.
Vol 13 No 1 - May 2014
A Novel Facial Recognition Method using Discrete Wavelet Transform Multiresolution Pyramid..........1
G. Preethi
Enhancing Energy Efficiency in WSN using Energy Potential and Energy Balancing Concepts ................. 9
Sheetalrani R. Kawale
DNS: Dynamic Network Selection Scheme for Vertical Handover in Heterogeneous Wireless Networks
.................................................................................................................................................................... 19
M. Deva Priya, D. Prithviraj and Dr. M. L Valarmathi
Implementation of Image based Flower Classification System................................................................ 35
Tanvi Kulkarni and Nilesh. J. Uke
A Survey on Knowledge Analytics of Text from Social Media .................................................................. 45
Dr. J. Akilandeswari and K. Rajalakshm
Progression of String Matching Practices in Web Mining – A Survey ..................................................... 62
Kaladevi A. C. and Nivetha S. M.
Virtualizing the Inter Communication of Clouds ...............................................................................72
Subho Roy Chowdhury, Sambit Kumar Patel, Ankita Vinod Mandekar and G. Usha Devi
Tracing the Adversaries using Packet Marking and Packet Logging ....................................................... 86
A. Santhosh and Dr. J. Senthil Kumar
An Improved Energy Efficient Clustering Algorithm for Non Availability of Spectrum in Cognitive Radio
Users ....................................................................................................................................................... 101
IRJET-Lossless Image compression and decompression using Huffman coding
S.Anitha"Lossless image compression and decompression using huffman coding", International Research Journal of Engineering and Technology (IRJET), Volume2,issue-01 April 2015.e-ISSN:2395-0056, p-ISSN:2395-0072. www.irjet.net
Abstract
This paper propose a novel Image compression based on the Huffman encoding and decoding technique. Image files contain some redundant and inappropriate information. Image compression addresses the problem of reducing the amount of data required to represent an image. Huffman encoding and decoding is very easy to implement and it reduce the complexity of memory. Major goal of this paper is to provide practical ways of exploring Huffman coding technique using MATLAB .
Poster cs543
This document summarizes an audio enhancement project that aims to remove a specific unwanted noise from an audio recording using computer vision techniques. It proposes treating the spectrogram of an audio signal as an image and applying object detection algorithms to identify and remove unwanted noises. The algorithm works by having the user mimic the noise to generate a noise template. It then scans the spectrogram, extracts HOG features from patches, and identifies patches similar to the noise template. The noise regions identified can then be removed from the spectrogram to synthesize a cleaned audio signal. Key steps include generating the spectrogram, extracting the noise template, scanning and classifying patches, and synthesizing the cleaned audio.
Deep Learning and Watson Studio
Deep learning and Watson Studio can be used for various tasks including planet discoveries, particle physics experiments at CERN, and scientific publications analysis. Convolutional neural networks are commonly used for image-related tasks like cancer diagnosis, object detection, and style transfer, while recurrent neural networks with LSTM or GRU are useful for sequential data like text for machine translation, sentiment analysis, and music generation. Hybrid and complex models combine different neural network architectures for tasks such as named entity recognition, music generation, blockchain security, and lip reading. Deep learning is now implemented using frameworks like TensorFlow and Keras on GPUs and distributed systems. Transfer learning helps accelerate development by reusing pre-trained models. Watson Studio provides a platform for developing, testing, and deploy
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...MaRS Discovery District
Deep learning is changing the field of artificial intelligence and revolutionizing our online experience, with applications including speech and image recognition. Information and communications technology giants such as Google, Facebook, IBM and Baidu, among others, are rapidly deploying deep learning into new products and services.
Behind all of the present-day excitement about deep learning are years of high risk and hard work by a small group of eminent computer scientists and theorists connected through the Canadian Institute for Advanced Research (CIFAR).Mayank Raj - 4th Year Project on CBIR (Content Based Image Retrieval)
This project was my undergrad final year project in which was taken from my internship at IIIT Ahmedabad, India. Little to know CBIR now being utilized everywhere in the image retrieval world. Google images do a great job of recognizing color palates.
Sign Language Recognition
This document outlines a project on sign language recognition. It discusses edge detection using the Canny algorithm, feature extraction using PCA and Hu moments, and classification of gestures using IBK, random forest, and random tree classifiers. The results show that IBK achieved the highest accuracy of 87.91% using PCA features, while random forest performed best at 81.66% accuracy using Hu moments.
Currency recognition on mobile phones
The document summarizes a proposed system for currency recognition on mobile phones. The system has the following modules: 1) segmentation to isolate the currency from background noise, 2) feature extraction and building a visual vocabulary, 3) instance retrieval using inverted indexing and spatial reranking, 4) classification by vote counting spatially consistent features. The system was adapted for mobile by reducing complexity, such as using an inverted index, while maintaining accuracy. Performance is evaluated using metrics like accuracy and precision.
Presentation of Visual Tracking
This presentation discusses computer vision techniques for human tracking and interaction. It begins with an outline of the topics to be covered, including basic visual tracking, multi-cue particle filtering for tracking, multi-human tracking, multi-camera tracking, and handling re-entering people. It then describes implementations of basic color-based tracking, particle filtering with multiple cues, and using particle filtering for human head tracking. Challenges with overlapping people are addressed through joint candidate evaluation and sorting by depth. The multi-camera system correlates tracks across cameras to identify corresponding people. Overall, the presentation explains a complete visual tracking and surveillance system using computer vision algorithms.
ppt icitisee 2022_without_recording.pptx
1) The document presents a method for face presentation attack detection that uses features from the HSV and YCbCr color spaces fed into convolutional neural networks.
2) Experiments on the CASIA and NUAA datasets show that combining HSV and YCbCr color space information yields better results than using either color space alone, with equal error rates under 6% achieved on both datasets.
3) The best performance was an equal error rate of 1.25% on the NUAA dataset using a VGG16 CNN, and 3.62% on the CASIA dataset using MobileNetV2, outperforming prior state-of-the-art methods.
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APPLICATION OF CONVOLUTIONAL NEURAL NETWORK IN LAWN MEASUREMENT
APPLICATION OF CONVOLUTIONAL NEURAL NETWORK IN LAWN MEASUREMENT
APPLICATION OF CONVOLUTIONAL NEURAL NETWORK IN LAWN MEASUREMENT
APPLICATION OF CONVOLUTIONAL NEURAL NETWORK IN LAWN MEASUREMENT
Alberto Massidda - Images and words: mechanics of automated captioning with n...
Alberto Massidda - Images and words: mechanics of automated captioning with n...
A Biometric Approach to Encrypt a File with the Help of Session Key
A Biometric Approach to Encrypt a File with the Help of Session Key
Automated Neural Image Caption Generator for Visually Impaired People
Automated Neural Image Caption Generator for Visually Impaired People
A brief introduction to extracting information from images
A brief introduction to extracting information from images
Sign Language Recognition Using Image Processing For Mute People
Sign Language Recognition Using Image Processing For Mute People
IRJET-Lossless Image compression and decompression using Huffman coding
IRJET-Lossless Image compression and decompression using Huffman coding
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...
Deep Learning: Changing the Playing Field of Artificial Intelligence - MaRS G...
Mayank Raj - 4th Year Project on CBIR (Content Based Image Retrieval)
Mayank Raj - 4th Year Project on CBIR (Content Based Image Retrieval)
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三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
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3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
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7:个人信誉贷款加10分
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留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
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我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
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选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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原件一模一样【微信：bwp0011】《(UOIT毕业证书)安大略省理工大学毕业证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
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四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Gabrielle M. A. Sinaga Portfolio, Film Student (2024)
My portfolio as a highly motivated film student pursuing a career in Yogyakarta.
一比一原版(surrey毕业证书)英国萨里大学毕业证成绩单修改如何办理
原版定制【微信:741003700】《(surrey毕业证书)英国萨里大学毕业证学位证成绩单》【微信:741003700】成绩单 、雅思、外壳、留信学历认证永久存档查询，采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份毕业证【Q微信741003700】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【Q微信741003700】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
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办理阿卡迪亚大学毕业证（uvic毕业证）本科文凭证书原版一模一样
原版一模一样【微信：741003700 】【阿卡迪亚大学毕业证（uvic毕业证）本科文凭证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
按照学校原版(ArtEZ文凭证书)ArtEZ艺术学院毕业证快速办理
官方原版办理【(ArtEZ毕业证书)ArtEZ艺术学院毕业证】【176555708微信号】海外认证成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版布拉德福德大学毕业证（bradford毕业证）如何办理
一模一样【微信：A575476】【布拉德福德大学毕业证（bradford毕业证）成绩单Offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
→ 【关于价格问题（保证一手价格）
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！
一比一原版(uwm毕业证书)美国威斯康星大学密尔沃基分校毕业证如何办理
原版一模一样【微信：741003700 】【(uwm毕业证书)美国威斯康星大学密尔沃基分校毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(uwm毕业证书)美国威斯康星大学密尔沃基分校毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(uwm毕业证书)美国威斯康星大学密尔沃基分校毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(uwm毕业证书)美国威斯康星大学密尔沃基分校毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(uwm毕业证书)美国威斯康星大学密尔沃基分校毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Community Skills Building Workshop | PMI Silver Spring Chapter | June 12, 2024
Community Skills Building Workshop | PMI Silver Spring Chapter | June 12, 2024Hector Del Castillo, CPM, CPMM
We recently hosted the much-anticipated Community Skill Builders Workshop during our June online meeting. This event was a culmination of six months of listening to your feedback and crafting solutions to better support your PMI journey. Here’s a look back at what happened and the exciting developments that emerged from our collaborative efforts.
A Gathering of Minds
We were thrilled to see a diverse group of attendees, including local certified PMI trainers and both new and experienced members eager to contribute their perspectives. The workshop was structured into three dynamic discussion sessions, each led by our dedicated membership advocates.
Key Takeaways and Future Directions
The insights and feedback gathered from these discussions were invaluable. Here are some of the key takeaways and the steps we are taking to address them:
• Enhanced Resource Accessibility: We are working on a new, user-friendly resource page that will make it easier for members to access training materials and real-world application guides.
• Structured Mentorship Program: Plans are underway to launch a mentorship program that will connect members with experienced professionals for guidance and support.
• Increased Networking Opportunities: Expect to see more frequent and varied networking events, both virtual and in-person, to help you build connections and foster a sense of community.
Moving Forward
We are committed to turning your feedback into actionable solutions that enhance your PMI journey. This workshop was just the beginning. By actively participating and sharing your experiences, you have helped shape the future of our Chapter’s offerings.
Thank you to everyone who attended and contributed to the success of the Community Skill Builders Workshop. Your engagement and enthusiasm are what make our Chapter strong and vibrant. Stay tuned for updates on the new initiatives and opportunities to get involved. Together, we are building a community that supports and empowers each other on our PMI journeys.
Stay connected, stay engaged, and let’s continue to grow together!
About PMI Silver Spring Chapter
We are a branch of the Project Management Institute. We offer a platform for project management professionals in Silver Spring, MD, and the DC/Baltimore metro area. Monthly meetings facilitate networking, knowledge sharing, and professional development. For more, visit pmissc.org.Learnings from Successful Jobs Searchers
Are you interested to know what actions help in a job search? This webinar is the summary of several individuals who discussed their job search journey for others to follow. You will learn there are common actions that helped them succeed in their quest for gainful employment.
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Image processing and compression techniques
- 2. Introduction Ultimate aim Acquiring images-real time example Types Color spaces Real time processing Compression Huffman coding Conclusion bibliography
- 3. Processing or altering the existing image in the desired manner. It pertains to the analysis of the pictorial representation. The main instance of image processing is Human Eye that receives , enhances and store images at enormous rate.
- 4. Extract important features from image data By doing so, a description, understanding and interpretation can be provided by the machines. There are applications to extract information But there is no proper tool to analyze.
- 5. Scientific instruments commonly produce images to the operator rather than communicating through audible tone. Space missions always have cameras . The success of the mission can be measured by the quality of the images.
- 6. Mars Exploration Rover(MER) began in 2003 by sending 2 rovers MER-A and MER-B The image of the planet Earth from Mars is given in the next slide.
- 8. The image of the planet Earth was taken by Rover during its 529th day on the martian surface. The image is compressed and then sent to the operator for efficiency. So this is where image processing is used.
- 9. Image-to-image transformation. Image-to-information transformation. Information-to-image transformation.
- 10. Conversion from RGB to YIQ/YUV loses no information. Y, the “luminance” signal, is just the brightness of a panchromatic monochrome image displayed in black and white TV
- 11. An interactive image processing followed in many countries
- 12. Redundant information can be compressed. Identical information can be grouped. Without any change in picture quality.
- 13. Run length Encoding grouping up of redundant information and compressing it.
- 14. Compression by huffman coding. Loss in image quality. This is the first image on the internet.
- 15. Split images into color and gray scale information. Group pixel into 8x8 blocks and transform through discrete cosine transform.
- 16. Proposed by Dr. David A. Huffman in 1952 ◦ “A Method for the Construction of Minimum Redundancy Codes” Huffman coding is a form of statistical coding Not all characters occur with the same frequency. But allocated the same size. 1 char = 1 byte
- 17. Scan text to be compressed and tally the occurrences of all characters. Sort or prioritize characters based on number of occurrences in text. Build Huffman code tree based on prioritized list. Perform a traversal of tree to determine all code words. Scan text again and create new file using the Huffman codes.
- 19. Eerie eyes seen near lake. 00001011000001100111000101011011010 01111101011111100011001111110100100 101 Once the receiver receives the encoded characters , it decrypts with the help of tree. 0-move left 1-move right
- 20. Image processing is any form of signal processing. Input is an image. Output may be information or image.
- 21. Lossy compression by Dr.Zhu liu. John C. Ross. Image Processing Hand book, CRC Press. 1994 Cs102 huffman coding.
- 22. Thank you