Object-Based Auto Exposure and Focus Algorithms Based on the Human Visual System

Kwanghyun LEE  Suyoung PARK  Sanghoon LEE 

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences  Vol.E92-A  No.3  pp.832-835
Publication Date: 2009/03/01
Online ISSN: 1745-1337
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section on Latest Advances in Fundamental Theories of Signal Processing)
Category: 
Keyword: 
auto exposure,  auto focus,  HVS (Human Visual System),  Tenengrad method,  DoM (Difference of Median) method, 

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Summary: 
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.