ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:TA-L2.4
Session:Image Coding
Time:Tuesday, October 10, 10:40 - 11:00
Presentation: Lecture
Topic: Image & Video Coding: Lossy image coding
Title: PSNR-BASED OPTIMIZATION OF JPEG BASELINE COMPRESSION ON COLOR IMAGES
Authors: Linfeng Guo; BrainMedia LLC 
 Yan Meng; Stevens Institute of Technology 
Abstract: A fast rate-distortion analytical framework for the PSNR-based optimization of JPEG baseline compression on color images is proposed in this paper. The analysis is conducted in the luminance-chrominance color space and based upon the Rho-domain analysis method [1]. The simulation results show that the proposed scheme can dramatically improve the performance of the JPEG baseline compression on color images in terms of peak signal-to-noise ratio (PSNR). Meanwhile, while the complexity of the proposed scheme is kept low, its results are very close to that from exhaustive searching method.