Image Coding and Compression
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
This chapter covers various aspects of image coding and compression. The fundamentals include lossless compression techniques such as run-length encoding, Huffman coding, arithmetic coding, and dictionary coding. Additionally, it introduces lossy compression methods including predictive coding and orthogonal transform coding. Notably, the material presents MATLAB implementations for cosine transform compression and wavelet transform compression (Section 17.3.4). In MATLAB implementations, key functions like dct2() for discrete cosine transform and wavedec2() for wavelet decomposition are typically employed, followed by thresholding and quantization operations to achieve compression. The compression ratio and quality can be controlled through parameter adjustments in the quantization step.
- Login to Download
- 1 Credits