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

Spatial-domain processing (Histogram Processing) I

Understanding Image Histogram Processing and Enhancement Techniques In this Tutorial, we dive deep into the concepts of image histogram processing and enhancement. We start by discussing the basics of image acquisition and the limitations of user input methods for image adjustment. The focus then shifts to augmented image processing techniques, particularly histogram processing. We explore how to count pixels and understand their distribution in an image, the concept of normalized histograms, and how these can indicate low and high contrast in images. Practical examples illustrate how to plot histograms, normalize them, and analyze probabilities of pixel intensities. We also delve into Continuous Distribution Functions (CDF) and their application in transforming images to achieve uniform histogram distributions. By the end, viewers will have a thorough understanding of how histogram processing can enhance image contrast and quality. 00:00 Introduction to Image Processing 00:26 Understanding Instagram Processing 00:38 Histogram and Pixel Intensity 01:33 Practical Examples of Histogram Processing 02:29 Normalization and Probability 03:46 Contrast and Histogram Equalization 07:30 PDF and CDF in Image Processing 08:58 Transformation Functions and Applications 11:47 Understanding the Equation 12:57 Transforming PDFs to Uniformity 13:18 Continuous Case and Signal Transformation 14:03 Deriving the PDF of S 18:02 Practical Examples and Applications 22:17 Histogram Matching Techniques