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chapter 9, Lossy Predictive Coding
Table of Contents
- I Background
- 1. Digital Images and Image Compression
- II Information Theory Concepts
- 2. Source Models and Entropy
- III Lossless Compression Techniques
- 6. Bit Plane Encoding
- IV Lossy Compression Techniques
- 9. Lossy Predictive Coding
- 10. Transform Coding
- 13. Subband Coding
Chapter Contents
- Introduction
- 9.1 Differential Pulse Code Modulation (DPCM)
- 9.1.1 Predictor optimization
- 9.1.2 Quantizer optimization
- 9.2 Adaptive DPCM
- 9.2.1 Adaptive prediction
- 9.2.2 Adaptive quantization
- 9.3 DPCM Results
- 9.4 Implementation Issues/Complexity of ADPCM
Excerpt
In a general predictive coding scheme, the correlation between the neighboring pixel values is used to form a prediction for each pixel. By far, the most common approach to predictive coding is differential pulse code modulation (DPCM). In DPCM, the prediction is subtracted from the actual pixel value to form a differential image that is much less correlated than the original image data. The differential image is then quantized and encoded. The quantization process determines the resulting bit rate and image quality. We now discuss the components of a lossy DPCM scheme in more detail.
©1991 Society of Photo-Optical Instrumentation Engineers
DOI: 10.1117/3.34917.ch9
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