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Iterative Sparse Coding for Colorization Based Compression

  • Suk-Ho Lee
  • Paul Oh
  • Moon Gi KangEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8814)

Abstract

Colorization based coding is a technique which compresses a color image using the colorization method. The main issue in colorization based coding is to extract a good RP(representative pixel) set from the original color image from which the colored image can be reconstructed in the decoder to a sufficient level. In this paper, we propose an iterative sparse coding method for the extraction of the RP set. Observations show that the proposed method computes simultaneously the locally optimal RP set and the locally optimal Levin’s colorization matrix. Furthermore, experimental results show that the proposed method provides better color image reconstruction and compression rate than conventional colorization based coding methods.

Keywords

Colorization Compression Optimization Sparse coding Color image 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Software EngineeringDongseo UniversityBusanKorea
  2. 2.Department of Electrical and Electronic EngineeringYonsei UniversitySeoulKorea

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