Lecture Digital image processing: Image compression - Nguyễn Công Phương

Nguyễn Công Phương DIGITAL IMAGE PROCESSING Image Compression Contents I. Introduction to Image Processing & Matlab II. Image Acquisition, Types, & File I/O III. Image Arithmetic IV. Affine & Logical Operations, Distortions, & Noise in Images V. Image Transform VI. Spatial & Frequency Domain Filter Design VII. Image Restoration & Blind Deconvolution VIII. Image Compression IX. Edge Detection X. Binary Image Processing XI. Image Encryption & Watermarking XII. Image Classification & Segmentation XIII. Image – Based Object Tracking XIV. Face Recognition XV. Soft Computing in Image Processing sites.google.com/site/ncpdhbkhn 2 Image Restoration and Blind Deconvolution 1. Introduction 2. Image Compression – Decompression Steps 3. Error Metrics 4. Classifying Image Data 5. Bit Allocation 6. Quantization 7. Entropy Coding 8. JPEG Compression sites.google.com/site/ncpdhbkhn 3 Introduction • Image compression: algorithmic techniques that can reduce the storage requirements of the image and, at the same time, retain the image information content. • Aspects of image properties that can be used for compression: – The interpixel information variation is only significant at edges of any type, whereas most of the image information content remains a slowly changing variable. – Our eyes are less sensitive to color changes and are much more sensitive to intensity. sites.google.com/site/ncpdhbkhn 4 Image Restoration and Blind Deconvolution 1. Introduction 2. Image Compression – Decompression Steps 3. Error Metrics 4. Classifying Image Data 5. Bit Allocation 6. Quantization 7. Entropy Coding 8. JPEG Compression sites.google.com/site/ncpdhbkhn 5 ... - tailieumienphi.vn