التفاصيل البيبلوغرافية
| العنوان: |
Low-light image restoration using bright channel prior-based variational Retinex model. |
| المؤلفون: |
Park, Seonhee1, Moon, Byeongho1, Ko, Seungyong, Yu, Soohwan1, Paik, Joonki1 paikj@cau.ac.kr |
| المصدر: |
EURASIP Journal on Image & Video Processing. 6/30/2017, Vol. 2017 Issue 1, p1-11. 11p. |
| مصطلحات موضوعية: |
*IMAGE reconstruction, *REFLECTANCE, *ENERGY function, *ELECTRIC distortion, *HISTOGRAMS, *NOISE control |
| مستخلص: |
This paper presents a low-light image restoration method based on the variational Retinex model using the bright channel prior (BCP) and total-variation minimization. The proposed method first estimates the bright channel to control the amount of brightness enhancement. Next, the variational Retinex-based energy function is iteratively minimized to estimate the improved illumination and reflectance using the BCP. Contrast of the estimated illumination is enhanced using the gamma correction and histogram equalization to reduce a color distortion and noise amplification. Experimental results show that the proposed method can provide the better restored result than the existing methods without unnatural artifacts such as noise amplification and halo effects near edges. [ABSTRACT FROM AUTHOR] |
| قاعدة البيانات: |
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