Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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A Locally Adaptive HDR Algorithm Using Integral Image and MSRCR Method

적분 영상과 MSRCR 기법을 이용한 국부적응적 HDR 알고리즘

  • Han, Kyu-Phil (Dept. of Computer Engineering, Kumoh National Institute of Technology)
  • Received : 2022.07.12
  • Accepted : 2022.09.05
  • Published : 2022.09.30
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Abstract

This paper presents a locally adaptive HDR algorithm using the integral image and MSRCR for LDR images with inadequate exposure. There are two categories in controlling the dynamic range, which are global and local tone mappings. Since the global ones are relatively simple but have some limitations at considering regional characteristics, the local ones are often utilized and MSRCR is a representative method. MSRCR gives moderate results, but it requires lots of computations for multi-scale surround Gaussian functions and produces the Halo effect around the edges. Therefore, in order to resolve these main problems, the proposed algorithm remarkably reduces the computation of the surrounds due to the use of the integral image. And a set of variable-sized windows is adopted to decrease the Halo effect, according to the type of pixel's region. In addition, an offset controlling function is presented, which is mainly affected to the subjective image quality and based on the global input and the desired output means. As the results, the proposed algorithm no more use Gaussian functions and can reduce the computation amount and the Halo effect.

Keywords

Acknowledgement

This paper was conducted during the sabbatical year of Kumoh National Institute of Technology in 2021.

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