Enhanced integrated gradient and its applications to color demosaicing

King Hong Chung, Yuk Hee Chan

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

2 Citations (Scopus)

Abstract

In this paper, an effective decision-based demosaicing algorithm for Bayer images is presented. An enhanced edge-sensing measure called enhanced integrated gradient (EIG) is exploited to guide the interpolation along the edges. This measure improves the recently proposed integrated gradient (IG) and hence can support more gradient information from various color intensity and color difference planes under the directional compatibility constraint. An adaptive green plane enhancement which works with the EIG is also proposed to further improve the efficiency of the algorithm.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Pages378-383
Number of pages6
DOIs
Publication statusPublished - 26 Nov 2012
Event2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012 - Hong Kong, Hong Kong
Duration: 12 Aug 201215 Aug 2012

Conference

Conference2012 2nd IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012
Country/TerritoryHong Kong
CityHong Kong
Period12/08/1215/08/12

Keywords

  • CFA
  • color demosaicing
  • integrated gradient

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Fingerprint

Dive into the research topics of 'Enhanced integrated gradient and its applications to color demosaicing'. Together they form a unique fingerprint.

Cite this