Low bit-rate image coding via interpolation oriented adaptive down-sampling

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An interpolation oriented adaptive down-sampling algorithm is proposed for low bit-rate image coding in this paper. Given an image, the proposed algorithm is able to obtain a low resolution image, from which a high quality image with the same resolution as the input image can be interpolated. Different from the traditional down-sampling algorithms, which are independent from the interpolation process, the proposed down-sampling algorithm hinges the down-sampling to the interpolation process. Consequently, the proposed down-sampling algorithm is able to maintain the original information of the input image to the largest extent. The down-sampled image is then fed into JPEG. A total variation (TV) based post processing is then applied to the decompressed low resolution image. Ultimately, the processed image is interpolated to maintain the original resolution of the input image. Experimental results verify that utilizing the down-sampled image by the proposed algorithm, an interpolated image with much higher quality can be achieved. Besides, the proposed algorithm is able to achieve superior performance than JPEG for low bit rate image coding.

Original languageEnglish
Title of host publicationVisual Communications and Image Processing 2010
DOIs
StatePublished - 2010
EventVisual Communications and Image Processing 2010 - Huangshan, China
Duration: 11 Jul 201014 Jul 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7744
ISSN (Print)0277-786X

Conference

ConferenceVisual Communications and Image Processing 2010
Country/TerritoryChina
CityHuangshan
Period11/07/1014/07/10

Keywords

  • Adaptive down-sampling
  • Image coding
  • Image interpolation
  • Total variation

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