Lapped orthogonal transform designed for error resilient image coding

D. M. Chung, Y. Wang

Research output: Contribution to conferencePaper

Abstract

This paper describes a new design method for lapped orthogonal transforms (LOTs) that can provide a desired trade-off between coding efficiency and robustness to transmission errors. Traditionally, the LOT bases were designed to maximize the coding efficiency solely[1, 2]. When certain coefficients are lost due to impairments in the transmission channel, these bases often provide unsatisfactory reconstruction quality. In our previous work [3], we have developed a new reconstruction method, the maximally smooth recovery (MSR) method, which can achieve better image reconstruction quality from incomplete LOT coefficients than simple interpolation methods. In this paper, we present a new LOT basis design method, which maximizes a weighted average of a coding gain and a reconstruction gain, with the latter being defined according to the MSR method. We show that these new bases can achieve significantly better redundancy-rate-distortion (RRD) performance than the set of basis designed by Hemami [4].

Original languageEnglish (US)
Pages[d]368-371
StatePublished - 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

ASJC Scopus subject areas

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

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    Chung, D. M., & Wang, Y. (2000). Lapped orthogonal transform designed for error resilient image coding. [d]368-371. Paper presented at International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada.