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 language | English |
|---|---|
| Pages (from-to) | 832-835 |
| Number of pages | 4 |
| Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| Volume | E92-A |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2009 Jan 1 |
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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 journal › Article
TY - JOUR
T1 - Object-based auto exposure and focus algorithms based on the human visual system
AU - Lee, Kwanghyun
AU - Park, Suyoung
AU - Lee, Sanghoon
PY - 2009/1/1
Y1 - 2009/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77956014527&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956014527&partnerID=8YFLogxK
U2 - 10.1587/transfun.E92.A.832
DO - 10.1587/transfun.E92.A.832
M3 - Article
AN - SCOPUS:77956014527
VL - E92-A
SP - 832
EP - 835
JO - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
JF - IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
SN - 0916-8508
IS - 3
ER -