Q3. Given an image with uniform histogram. Explain the effect of applying following compression techniques:
- i)) Huffman, (80 words)
- ii)) Golomb, (80 words)
- iii)) LZW, (80 words)
- iv)) Prediction coding, and (80 words)
- v)) Optimal Quantization (80 words)
Key Points:
- Uniform histogram means high entropy and low statistical redundancy.
- Huffman coding is ineffective due to equal symbol frequencies; codes are near-equal length.
- Golomb coding unsuitable for uniform distributions; requires geometrically distributed data.
- LZW struggles with uniform data lacking repeating sequences, leading to a large dictionary.
Answer: An image with a uniform histogram indicates that all possible intensity levels appear with approximately equal frequency. This implies high entropy and a lack of statistical redundancy, which is generally challenging for many compression algorithms that rely on exploiting redundancies. The effectiveness of compression techniques is significantly reduced in such scenarios. Compression algorithms either exploit statistical redundancy (e.g., Huffman, Golomb), spatial/temporal redundancy (e.g., Pre...