TY - GEN
T1 - HISTOGRAM-BASED TRANSFORMATION FUNCTION ESTIMATION FOR LOW-LIGHT IMAGE ENHANCEMENT
AU - Park, Jaemin
AU - Vien, An Gia
AU - Kim, Jin Hwan
AU - Lee, Chul
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - We propose a learning-based low-light image enhancement algorithm, called the histogram-based transformation function estimation network (HTFNet), that estimates transformation functions using the histogram of an input image. First, we obtain an attention image that indicates the pixel-wise information on the level of enhancement. Then, the proposed HTFNet generates the transformation functions by exploiting both the spatial and statistical information of the input image by combining two feature maps extracted from the input image and its histogram. Finally, the enhanced images are obtained via channel-wise intensity transformation. Experimental results show that the proposed algorithm provides higher image quality compared with the state-of-the-art algorithms.
AB - We propose a learning-based low-light image enhancement algorithm, called the histogram-based transformation function estimation network (HTFNet), that estimates transformation functions using the histogram of an input image. First, we obtain an attention image that indicates the pixel-wise information on the level of enhancement. Then, the proposed HTFNet generates the transformation functions by exploiting both the spatial and statistical information of the input image by combining two feature maps extracted from the input image and its histogram. Finally, the enhanced images are obtained via channel-wise intensity transformation. Experimental results show that the proposed algorithm provides higher image quality compared with the state-of-the-art algorithms.
KW - Low-light image enhancement
KW - histogram equalization
KW - transformation function
UR - http://www.scopus.com/inward/record.url?scp=85146697804&partnerID=8YFLogxK
U2 - 10.1109/ICIP46576.2022.9897778
DO - 10.1109/ICIP46576.2022.9897778
M3 - Conference contribution
AN - SCOPUS:85146697804
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1
EP - 5
BT - 2022 IEEE International Conference on Image Processing, ICIP 2022 - Proceedings
PB - IEEE Computer Society
T2 - 29th IEEE International Conference on Image Processing, ICIP 2022
Y2 - 16 October 2022 through 19 October 2022
ER -