Spatial-domain processing(Histogram Processing) II скачать в хорошем качестве

Spatial-domain processing(Histogram Processing) II

Mastering Image Processing: Gamma Correction, Normalization, and Histogram Equalization In this comprehensive Tutorial, delve into the principles of image processing, starting with the effects of gamma correction and normalization. Learn how to normalize images between 0 and 1, and explore different histogram equalization methods, including global and local equalization. Understand how to handle specialized cases like dark images and how to avoid making images too bright by using custom CDFs. The video further covers convolution operations, various filtering techniques for noise removal, image smoothing, and sharpening, including practical examples and the importance of selecting the appropriate filter for specific applications. Advanced concepts, such as flipping filters for convolution, dealing with salt and pepper noise, and segmentation in deep learning, are also discussed, highlighting the trade-offs and limitations inherent to each method. 00:00 Introduction to Power and Gamma Values 00:31 Normalization Techniques Explained 01:47 Challenges with Histogram Equalization 02:36 Specifying and Transforming Histograms 05:35 Practical Example of Histogram Equalization 09:42 Limitations and Advanced Techniques 10:54 Introduction to Local and Global Information 11:14 Segmentation and Equalization Techniques 12:40 Understanding Noise and Its Types 12:59 Introduction to Spatial Filtering 14:54 Linear and Non-Linear Filters 16:57 Convolution Process Explained 20:10 Impulse Function and Its Properties