Object-based auto exposure and focus algorithms based on the human visual system

Kwanghyun Lee, Suyoung Park, Sanghoon Lee

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

For the acquisition of visual information, the nonuniform sampling process by photoreceptors on the retina occurs at the earliest stage of visual processing. From objects of interest, the human eye receives high visual resolution through nonuniform distribution of photoreceptors. Therefore, this paper proposes auto exposure and focus algorithms for the real-time video camera system based on the visual characteristic of the human eye. For given moving objects, the visual weight is modeled for quantifying the visual importance and the associated auto exposure and focus parameters are derived by applying the weight to the traditional numerical expression, i.e., the DoM (Difference of Median) and Tenengrad methods for auto focus.

Original languageEnglish
Pages (from-to)832-835
Number of pages4
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE92-A
Issue number3
DOIs
Publication statusPublished - 2009 Jan 1

Fingerprint

Human Visual System
Video cameras
Sampling
Processing
Nonuniform Sampling
Autofocus
Retina
Moving Objects
Vision
Object
Camera
Real-time

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

Cite this

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Object-based auto exposure and focus algorithms based on the human visual system. / Lee, Kwanghyun; Park, Suyoung; Lee, Sanghoon.

In: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E92-A, No. 3, 01.01.2009, p. 832-835.

Research output: Contribution to journalArticle

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