2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:TA-L6.4
Session:Image Coding II
Time:Tuesday, September 18, 10:50 - 11:10
Presentation: Lecture
Title: INCORPORATING PRIMAL SKETCH BASED LEARNING INTO LOW BIT-RATE IMAGE COMPRESSION
Authors: Yang Li; Shanghai Jiao Tong University 
 Xiaoyan Sun; Microsoft Research Asia 
 Hongkai Xiong; Shanghai Jiao Tong University 
 Feng Wu; Microsoft Research Asia 
Abstract: This paper proposes an image compression approach, in which we incorporate primal sketch based learning into the mainstream image compression framework. The key idea of our approach is to use primal sketch information to enhance the quality of distorted images. With this method, we only encode the down-sampled image and use the primal sketch based learning to recover the high frequency information which has been removed by down-sampling. Experimental results demonstrate that our scheme achieves better objective visual quality as well as subjective quality compared with JPEG2000 at the same bit-rates.



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