An orthogonal polynomials based framework for edge detection in 2-D monochrome images
Pattern Recognition Letters
On psychoacoustic noise shaping for audio requantization
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Pattern Recognition Letters
A novel approach for fast codebook re-quantization
Pattern Recognition
Requantization for transcoding of MPEG-2 intraframes
IEEE Transactions on Image Processing
Recompression of JPEG images by requantization
IEEE Transactions on Image Processing
Fast-searching algorithm for vector quantization using projection and triangular inequality
IEEE Transactions on Image Processing
Optimization of requantization codebook for vector quantization
IEEE Transactions on Image Processing
Accelerating the Optimization of Requantization Codebook for Vector Quantization
IEEE Transactions on Image Processing
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In this paper, an edge preserving fast requantization algorithm is proposed for color image coding. In this work, a block classifier in the orthogonal polynomials based transform domain is proposed to classify the color image region as containing either smooth or edge. The smooth regions are clustered by finding the central tendency adjacent smooth regions separated by edge block. The reduced training vectors are obtained from both edge blocks and clustered smooth blocks for quantization process. The quantization codebook Q"1 is then constructed from the reduced training vectors and so reduces the codebook training process. In this proposed work, the edge block training vectors and the quantization codebook Q"1 are utilized to construct the requantization codebook Q"2 so as to eliminate the edge degradation problem present in existing requantization techniques. The self-organizing feature map algorithm is employed in both quantization and requantization stage for codebook generation process. The computation time of color image encoding is further reduced in this proposed work by constructing a single codebook for all the R, G and B color components utilizing the inter-correlation property of the proposed transform. The experimental results demonstrate that the proposed work gives superior results compared with existing techniques.