a formal justification of the suitability of lattices for coding of wavelet coefficients. We also define the criterion for The combination of the wavelet transform and vector quantization has proven to be a powerful technique for image compresoptimality of lattices for quantization of a random sour
Image compression through projection of wavelet coefficients
β Scribed by Chul-Woo Kim; Choong Woong Lee
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 414 KB
- Volume
- 11
- Category
- Article
- ISSN
- 0923-5965
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β¦ Synopsis
This paper proposes an image compression algorithm that adopts projection scheme on wavelet transform domain of image signal. Wavelet-decomposed image is encoded by the result of projection along one direction out of eight which approximates the coefficients most closely to the originally transformed coefficients. These projection data are vector-quantized using separate codebooks depending on the decomposition level and orientation of decomposed image. Experimental result reveals that proposed scheme shows excellent performance in PSNR manner and also shows good subjective quality. ((3 1998 Elsevier Science B.V.
π SIMILAR VOLUMES
Images and spectra contain a large amount of data. Therefore the question arises, how this data can be decreased or compressed without losing important detail. The discrete wavelet transform is a tool which can be used to compress data because of its good approximation properties. It is very easy to
## Abstract In this paper, a novel image compression technique, the combination of wavelet packet transform and directional decomposition is proposed. Wavelet packet transform is an increasingly remarkable image compression approach that outperforms the standard wavelet transform in image coding. T