A hybrid W-transform-based coding and its VLSI realization for image compression

We propose an image compression algorithm that combines the W-transform, normalized quantization, and entropy coding to enhance the compression ratio. Experimental results show that the proposed algorithm achieves a higher compression rate compared to the JPEG and the other previously proposed W-tra...

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Bibliographic Details
Published in:International 1998 Conference on Consumer Electronics pp. 509 - 518
Main Authors: Shen-Fu Hsiao, Wen-Chen Huang, Chungnan Lee, Cheng-Chung Hsu
Format: Conference Proceeding
Language:English
Published: IEEE 01.08.1998
Subjects:
Data compression
Digital arithmetic
Digital signal processors
Entropy codes
Image coding
Image resolution
Quantization
Systolic arrays
Transform coding
Very-large-scale integration
Wavelet transforms
ISBN:9780780343573, 0780343573
ISSN:0098-3063
Online Access:Get full text
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Summary:We propose an image compression algorithm that combines the W-transform, normalized quantization, and entropy coding to enhance the compression ratio. Experimental results show that the proposed algorithm achieves a higher compression rate compared to the JPEG and the other previously proposed W-transform based method. Since the W-transform plays an important role in multi-resolution image processing applications and is the core operation in our image compression system, we realize it on a VLSI chip in order to increase the system speed performance. The processor can compute the W-transform of any length (even or odd) in a very high throughput rate using only 8 arithmetic processing elements. The physical design of the processor based on 0.6 /spl mu/m cell library is also included.
ISBN:9780780343573
0780343573
ISSN:0098-3063
DOI:10.1109/ICCE.1998.678246