Dynamic Range Enhancement Using New MSF Image and CLAHE 


Vol. 45,  No. 2, pp. 264-273, Feb.  2020
10.7840/kics.2020.45.2.264


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  Abstract

Low dynamic range (LDR) image may contain low-light and highlight areas due to the limitations of the dynamic range of LDR image sensor. To overcome this, high dynamic range (HDR) images have been developed with rich colors such as those seen by the human eye. Most HDR images are produced by using a good image sensor or by composing photographed pictures under different exposure conditions. In this paper, we propose a method to enhance the dynamic range of a single LDR image by removing the specular component from highlight pixels and strengthening the brightness of low-light area with preserving actual color. Next, we apply a contrast limited adaptive histogram equalization (CLAHE) to expand the dynamic range by varying the R, G, and B values according to the brightness. We verify real-time use based on the execution speed of the algorithm. We evaluate our proposed method by using natural image quality evaluator (NIQE) and histogram balance (HB) quality metrics. We also show the improvement in the highlight and low-light areas and confirm that our results can be applied in the field of image recognition.

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  Cite this article

[IEEE Style]

J. Kim and K. Kim, "Dynamic Range Enhancement Using New MSF Image and CLAHE," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 2, pp. 264-273, 2020. DOI: 10.7840/kics.2020.45.2.264.

[ACM Style]

Jin-San Kim and Ki-Doo Kim. 2020. Dynamic Range Enhancement Using New MSF Image and CLAHE. The Journal of Korean Institute of Communications and Information Sciences, 45, 2, (2020), 264-273. DOI: 10.7840/kics.2020.45.2.264.

[KICS Style]

Jin-San Kim and Ki-Doo Kim, "Dynamic Range Enhancement Using New MSF Image and CLAHE," The Journal of Korean Institute of Communications and Information Sciences, vol. 45, no. 2, pp. 264-273, 2. 2020. (https://doi.org/10.7840/kics.2020.45.2.264)