Paper Details: Downloads: 619
Serial Number: P1150712003
Title: Designing Quantization Table for Hadamard Transform based on Human Visual System for Image Compression
Authors: K.Veeraswamy and S. Srinivaskumar and B.N.Chatterji
Abstract: This paper discusses lossy image compression using Hadamard Transform (HT). Quantization table plays significant role in image compression (lossy) that improves the compression ratio without sacrificing visual quality. In this work, Human Visual system (HVS) is considered to derive the quantization table, which is applicable for Hadamard Transform. By incorporating the human visual system with the uniform quantizer, a perceptual quantization table is derived. This quantization table is easy to adapt to the specified resolution for viewing. Results show that this quantization table is good in terms of improving peak signal to noise ratio (PSNR), Normalized Cross correlation (NCC) and to reduce blocking artifacts. This work is extended to test the robustness of watermarking against various attacks.
Keywords: Image compression, Hadamard Transform, human visual system, quantization table, watermarking.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 7
Issue: 3
Submission Date: 4/1/2007 12:00:00 AM
Review Date: 6/1/2007 12:00:00 AM
Publishing Date: 11/1/2007 12:00:00 AM
Article Downloads: 619
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