Adaptive thresholding for noisy MPEG-4 still texture image

T. C L Chan, Pak Kong Lun

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In this paper, we show that when using the MPEG-4 still image codec to compress a noisy image, increasing the compression ratio does not necessarily imply reducing the peak-signal-to-noise ratio (PSNR) of the decoded image. An optimal operating point is noted where the peak PSNR can be obtained within the low bit rate region. Yet, the visual quality of the decoded noisy images in this region is greatly degraded by the so-called "cross" shape artefact. To deal with this problem, we analyze the cause of the optimal operating point and the "cross" shape artefact when using the MPEG-4 still image codec for coding noisy images. We then propose an adaptive thresholding technique to remove the "cross" shape artefact. An analytical study is performed for the selection and validation of the threshold value used. It is shown that, by using the proposed technique, the visual quality and PSNR of the decoded images are much improved comparing with the traditional MPEG-4 still image codec in coding noisy images.
Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Publication statusPublished - 1 Dec 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: 10 Sep 200013 Sep 2000

Conference

ConferenceInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period10/09/0013/09/00

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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