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IRJET- Image Processing -Manipulation of Digital Images
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3111 IMAGE PROCESSING -MANIPULATION OF DIGITAL IMAGES Shubham S.Pawara1, Pranav N.Gavali2, Akash Babar3, Sourabh Ghule4, Pranita V.Shitole5 1,2,3,4Student, Dept. of Computer Engineering, AISSMS Polytechnic, Maharashtra, India. 5Professor, Dept. of Computer Engineering, AISSMS Polytechnic, Maharashtra, India. ----------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Digital camera controlled program isabroadarea of research. Vision based approaches deserves special attention, inexpensive and powerful. However, problems such as illumination and noise are overcome. A kind of associative memory with high dimensional binary vectors is used, which also exhibits behaviors in many aspects similar to those of the human brain. This paper analysestheimpactofusingdifferent image processing techniques on the images using histogram equalization and smoothing using Gaussian filter. The result shows that equalization and smoothing have a positive effect on the performance of the system . Key Words: Image Processing, Meta-Data, Smooting, Existing System, Proposed System. 1. INTRODUCTION Image processing is to convert an image intodifferentdigital form and perform some operations on it, inorder to get an information from it and enchanced on it. It is a type of signal waves in which input is image, likeframeofvideoandoutput may be image or characteristics associated with that image. Usually Image Processing systemincludestreatingimages as 2D(Dimensions) signals while applying already set signal processing methods to them..It is among rapidly growing technologies today, with the improvementofdigital filtering. Image Processing forms core research area within engineering and computer science disciplines too. Image processing basically includes the following three steps. Digital photography. Analyzing the image, manipulation of image, compression of image. Output is based on image analysis. The algorithm looks for changes in Iso and speed, and apeture then Mathematically calculates exposurechanges of two pictures. It writes .xmp files. This make best use in lighting condition such as time-lapsea Time-Phase change Environment. There is flickering on auto mode when you did not use this technique. 2. ARCHITECTURE OF SYSTEM Fig 1:Architecture of System In the System architecture the Process of Images include Pre-processing, feature extractionandthenmanuallywecan changes the images with it’s propertiessuchasIso,Expeture, Aperture.etc Fig 2:Actual Histogram of Images. Fig 3:Smooth Equilized Histogram. 3. PROPOSED SYSTEM Extremely Cost-Effective System for Professional Videographers to Tune/Ramp their Content
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3112 A System to correct the Flicker’s or a Long Timelapse captured by a Digital Camera Usage of Meta Data to Alter the Histogram of Image Result into Image Equilization and Smooting using Guassian Equation. 4. METHODS i. Aperture=log 2log Aperture next Aperture current ii. Iso=log 2log Iso next Iso current iii. Shutter speed=log 2log speed next speed current 5. LITERATURE SURVEY Many of the techniques of digital image processing,ordigital picture processing as it often was called, were developed in the 1960s at the JPL, Massachusetts Institute(MIT), Bell Laboratories, Maryland University. A few researchessuchas application to satellite images, wire-photo standards conversion, medical imaging, videophone, character recognition, and photograph enhancement werealsocarried out. Here the use of digital image processing techniques for electronic specklepatterninterferometry.Adigital TV-image processing system with a large frame memory allows them to perform precise and flexible operations such as subtraction, summation, and level slicing. Digital image processing techniques made it easy compared with analog techniques to generate high contrast fringes. The algorithm simply looks for changes in shutter speed, aperture, and iso, then mathematically calculates the exposure offset required to match the difference between a change in two pictures, evenly applies the exposure change across leading images, and writes new exposure to the RAW (.xmp) files. This allows photoshop due to my calculations without any issue, and use the ramped values. This makes best use in difficult lighting conditions such as a timelapseof a sunrise, where you can change the exposure at sunrise. 5. CONCLUSION By Using Image Processing we can improve the quality of images. It can find out the difflection in images easily. The performance of the system is improved by processing the images using a Gaussian filter and histogram equalization. Contrast normalization usually produces bad results. 6. FUTURE SCOPE i. Atmospheric effects can be corrected. ii. Can acquire Sufficient accuracy for Post-Preocessing iii. Saves Human Efforts to manually configure in specific time spans Capable of Dodging visual limitations caused by Weather. 7. REFERENCES [1] Pentti Kanerva, Sparse Distributed Memory, MIT Press Cambridge, 1988. [2] [2] Mateus Mendes, Manuel M.Crisostomo, and A.Paulo Coibra. Robot navigation usinga sparsedistributedmemory. In Pro.of IEEE Int. Conf. on Robotics and Automation, Pasadena, California, USA. May 2008. [3] Mateus Mendes, Manuel M.Crisostomo, and A.Paulo Coimbra. Assessing a sparse distributed memory using different methods. In Proc. Of World congress on Engineering, London, UK, July 2009. [4] Bohdana Ratitch and Donia Precup. Sparse distributed memories for s reinforcement learning. In ECML, 2004. [5] Dr.E.Ramaraj, A.Senthilrajan, “Parallel Sorting Algorithm”, 12th International workshop on Future 1 x 2 + y2 G ( x, y ) = e-2pa 2 2s 2
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3113 Trends of DistributedComputingSystems,Kunming, China.21-23, October 2008. Paper presented and published. [6] Dr.E.Ramaraj, A.Senthilrajan, “Multi Core processor to support network parallel Image processing applications”, International conference on signal processing system 15-17 May,2009, Singapore, Organized by International associationof computer science and IT. IEEE computer society, ISBN: 978-0-7695-3654-5. Paper presented and published [7] Dr.E.Ramaraj, A.Senthilrajan, International multi conference of engineersand computerscientists,17- 19, March,2010, “High Density Impulse Noise removal using Median Filter”, Hongkong, International Association of Engineers. ISBN: 978- 988-18210-4-1, ISSN: 2078-0958. Paper presented and published. [8] S. Sudha,R. Alphonse Santhanam, Double Domination on Generalized Petersen Graphs; Mathematical Sciences International Research Journal ISSN 2278 – 8697 Vol 3 Issue 1 (2014), Pg8- 10 [9] Dr.E.Ramaraj, A.Senthilrajan, “Median Filter Using Multiprocessing in Agriculture”, in 10th International Conference on Signal Processing (ICSP’10), Oct.24-28,2010,Beijing,China,Organized by IEEE Signal Processing Society Paper was presented and published. [10] Dr.A.Senthilrajan,”Paddy Grade and Dirt classification using Image Processing Techniques”, in C2SPCA2013Oct 10,11,2013, IEEE conference in Bangalore, India. Paper was presented and published. [11] Dr.E.Ramaraj, A.Senthilrajan, “Median Filterin Agriculture”, in World Congress on Engineering and Computer Science 2010 San Francisco, USA, 20-22 October, 2010 Organized by the International Association of Engineers (IAENG). ISBN: 978-988- 17012-0-6. Published.
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