Enhancements in the dual tree discrete wavelet transform algorithm for video processing

Audie Spina, Aldo Morales

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes two enhancements to the Noise Shaping (NS) algorithm with the intent of reducing the processing time required to shape the coefficients in the dual tree discrete wavelet transform (DDWT). First, Subband Significant Coefficient Determination (SSCD) will identify the most important coefficients while eliminating the others. A second algorithm, Energy Distribution Noise Shaping (EDNS) more efficiently processes the wavelet coefficients of the transform based on individual subband energy distributions.

Original languageEnglish (US)
Title of host publicationISCE 2010 - 14th IEEE International Symposium on Consumer Electronics
DOIs
StatePublished - Sep 1 2010
Event14th IEEE International Symposium on Consumer Electronics, ISCE 2010 - Braunschweig, Germany
Duration: Jun 7 2010Jun 10 2010

Publication series

NameProceedings of the International Symposium on Consumer Electronics, ISCE

Other

Other14th IEEE International Symposium on Consumer Electronics, ISCE 2010
CountryGermany
CityBraunschweig
Period6/7/106/10/10

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Enhancements in the dual tree discrete wavelet transform algorithm for video processing'. Together they form a unique fingerprint.

Cite this