Abstract
An approximate solution to single image dehazing algorithm is proposed in this work. We improve the performance of our previous dehazing algorithm, which optimally estimates transmission values, by approximating a cost function. The cost function consists of two terms: contrast cost and information loss cost. The information loss cost is nonlinear, which cannot be converted to a quadratic form. To address this issue, the proposed algorithm applies the logistic function and replaces the information loss term to the logistic form, thereby achieving complexity reduction. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct details in original scenes clearly.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Symposium on Consumer Electronics, ISCE |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9781479945924 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Event | 18th IEEE International Symposium on Consumer Electronics, ISCE 2014 - Jeju, Korea, Republic of Duration: 2014 Jun 22 → 2014 Jun 25 |
Other
| Other | 18th IEEE International Symposium on Consumer Electronics, ISCE 2014 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju |
| Period | 14/6/22 → 14/6/25 |
Fingerprint
ASJC Scopus subject areas
- Engineering(all)
Cite this
Approximate solution to optimized contrast enhancement for hazy image. / Kim, Jin Hwan; Kim, Chang-Su.
Proceedings of the International Symposium on Consumer Electronics, ISCE. Institute of Electrical and Electronics Engineers Inc., 2014. 6884426.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Approximate solution to optimized contrast enhancement for hazy image
AU - Kim, Jin Hwan
AU - Kim, Chang-Su
PY - 2014/1/1
Y1 - 2014/1/1
N2 - An approximate solution to single image dehazing algorithm is proposed in this work. We improve the performance of our previous dehazing algorithm, which optimally estimates transmission values, by approximating a cost function. The cost function consists of two terms: contrast cost and information loss cost. The information loss cost is nonlinear, which cannot be converted to a quadratic form. To address this issue, the proposed algorithm applies the logistic function and replaces the information loss term to the logistic form, thereby achieving complexity reduction. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct details in original scenes clearly.
AB - An approximate solution to single image dehazing algorithm is proposed in this work. We improve the performance of our previous dehazing algorithm, which optimally estimates transmission values, by approximating a cost function. The cost function consists of two terms: contrast cost and information loss cost. The information loss cost is nonlinear, which cannot be converted to a quadratic form. To address this issue, the proposed algorithm applies the logistic function and replaces the information loss term to the logistic form, thereby achieving complexity reduction. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct details in original scenes clearly.
KW - contrast enhancement
KW - Dehazing
KW - image enhancement
KW - logistic function
UR - http://www.scopus.com/inward/record.url?scp=84907412481&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907412481&partnerID=8YFLogxK
U2 - 10.1109/ISCE.2014.6884426
DO - 10.1109/ISCE.2014.6884426
M3 - Conference contribution
SN - 9781479945924
BT - Proceedings of the International Symposium on Consumer Electronics, ISCE
PB - Institute of Electrical and Electronics Engineers Inc.
ER -