1-bit heuristic adaptive quantizer (HAQ) for on chip image compression in CMOS image sensors

Michael Barrow*, Amine Bermak, Shoushun Chen

*Corresponding author for this work

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

Abstract

This paper presents an algorithm for implementing a single bit adaptive quantizer based on fast boundary adaptation rule (FBAR). The peak signal to noise ratio (PSNR) gain and performance gain of the algorithm over prior designs is found to be larger than that displayed by prior art compared with a reference FBAR implementation. A maximum increase of 1.44db was seen. In addition, the new design facilitates an improved bits per pixel ratio (bpp) when integrated with the QTD compressor utilized in previous prototypes. The presented algorithm is hardware friendly and designed for low power implementation, with simulation results also showing an improvement of relative energy cost over previous work. Experimental evidence for image sizes ranging from 6464 pixels to 512512 pixels and the heuristic adaptive quantizer (HAQ) algorithm are detailed in this paper.

Original languageEnglish
Title of host publication2011 International Symposium on Integrated Circuits, ISIC 2011
Pages613-616
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 International Symposium on Integrated Circuits, ISIC 2011 - SingaporeSingapore, Singapore
Duration: 12 Dec 201114 Dec 2011

Publication series

Name2011 International Symposium on Integrated Circuits, ISIC 2011

Conference

Conference2011 International Symposium on Integrated Circuits, ISIC 2011
Country/TerritorySingapore
CitySingaporeSingapore
Period12/12/1114/12/11

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