Techniques d'amélioration | image-enhancement

This collection encompasses advanced techniques and methodologies in image enhancement across various applications, including medical imaging, climate monitoring, and underwater photography. It features discussions on deep learning frameworks for cancer detection, edge-based segmentation for environmental studies, and noise reduction methods for ultrasonic images. Key themes include pixel manipulation, filtering, and the use of hybrid approaches to improve image quality and analysis accuracy, underscoring the critical role of image processing in diverse fields.

ilide.info-unit-2-ppt-digitial-image-processing-pr_0e14dfe998b069cd20e6e820fdb0ecb3.pptx
2D Convolution in Digital Image Processing.pptx
image enhancement analysis procedure .pptx
Data Retrieval in Optical Satellite Images by Fusion with Multi-Tempora.pptx
Week 3_Ch 3_Image Enhancement in the spatial domain.pptx
Image Enhancement-Image processing Spatial Domain
Comprehensive Guide to Digital Image Processing Concepts and Applications
Image Enhancement in Spatial Domain (Digital Image Processing - Lecture 2)
Image_Enhancement_openCV_Computer_Vision.pdf
Enhancing road image clarity with residual neural network dehazing model
Transform Your Images: Impactful Photoshop Retouching
A HYBRID DENOISING APPROACH FOR SPECKLE NOISE REDUCTION IN ULTRASONIC B-MODE IMAGES
A HYBRID DENOISING APPROACH FOR SPECKLE NOISE REDUCTION IN ULTRASONIC B-MODE IMAGES
A HYBRID DENOISING APPROACH FOR SPECKLE NOISE REDUCTION IN ULTRASONIC B-MODE IMAGES
Lecture 1 Advanced Digital Image Processing ADIP.pptx
A NEW ADVERSARIAL EMBEDDING METHOD FOR ENHANCING IMAGE_REVIEW2.pptx
Image Enhancement in Spatial Frequency Domain
Image Enhancement and Histogram Equalization in Digital Image Processing.ppt
 
An underwater image enhancement by reducing speckle noise using modified anisotropic diffusion filter
Monitoring climate change effects on coral reefs using edge- based image segmentation