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Technical Program
Paper Detail
| Paper: | TA-L2.4 |
| Session: | Image Coding |
| Time: | Tuesday, October 10, 10:40 - 11:00 |
| Presentation: |
Lecture
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| 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. |
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