Extrema points coding based on empirical mode decomposition: An improved image sub-band coding method

Authors:
Guang-Tao Ge;Lu Yu
Affiliations:
Institute of Information and Communication Engineering, Zhejiang University, Hangzhou 310027, China and School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou 31 ...;Institute of Information and Communication Engineering, Zhejiang University, Hangzhou 310027, China
Venue:
Computers and Electrical Engineering
Year:
2013

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Abstract

The extrema points coding approach is an attractive way to represent the image. This approach will potentially become a new scheme to compress the still image and will make a great progress for mobile visual search technique. According to the idea of extrema points coding, a complete image compression approach is presented in this paper. Based on the Empirical Mode Decomposition (EMD) theory, digital image is decomposed into different sub-bands, where the most important extrema points are extracted. On mid and low frequency sub-bands, a novel compression method with obvious advantages over current methods is brought out. Combined this method with Linderhed's ''coding of the EMD using DCT of variable sampled blocks (VSDCTEMD)'', a complete digital image compression scheme is designed. It improves Linderhed's image compression scheme based on EMD.