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- W2141895543 abstract "HDR (high dynamic range) 톤 맵핑 (tone mapping) 알고리듬은 높은 다이내믹 레인지 영상을 압축하여 LDR (low dynamic range) 영상 장치에 구현하기 위해 사용된다. 대표적인 톤 맵핑 알고리듬의 한 방법인 레티넥스 (retinex)는 효과적인 다이내믹 레인지 압축과 색 항상성을 보존할 수 있는 특성을 가지고 있으며, 다중 스케일 및 휘도 성분 기반 알고리듬 등으로 발달되어왔다. 그러나 레티넥스 기반 알고리듬들은 어두운 영역에서 노이즈가 강하게 나타나고 밝은 영역에서는 채도 저하 현상이 나타나는 단점이 있다. 본 논문에서는 명암대비 성능의 개선과 채도 저하 및 노이즈 개선을 위해 시각 밝기 함수를 기반으로 하는 다중 스케일 톤 맵핑 알고리듬을 제안하였다. 제안된 알고리듬은 원영상의 채도 및 색상의 보존을 위해 HSV 색 공간에서 처리가 이루어지며 인간 시각 특성을 반영하기 위해 조명의 변화에 따른 최소 및 최대 휘도 레벨 예측 함수와 시각 감마 모델링 함수를 이용하였다. 그리고 주관적 및 객관적 성능 비교로부터 제안된 알고리듬의 우수성을 확인하였다. 제안된 알고리듬은 시청환경의 변화로 인해 다이내믹 레인지의 개선이 필요한 분야에서 영상화질의 효과적인 개선을 기대할 수 있을 것이다. HDR (high dynamic range) tone mapping algorithms are used in image processing that reduces the dynamic range of an image to be displayed on LDR (low dynamic range) devices properly. The retinex is one of the tone mapping algorithms to provide dynamic range compression, color constancy, and color rendition. It has been developed through multi-scale methods and luminance-based methods. Retinex algorithms still have drawbacks such as the emphasized noise and desaturation. In this paper, we propose a multi scale tone mapping algorithm for enhancement of contrast, saturation, and noise of HDR rendered images based on visual brightness functions. In the proposed algorithm, HSV color space has been used for preserving the hue and saturation of images. And the algorithm includes the estimation of minimum and maximum luminance level and a visual gamma function for the variation of viewing conditions. And subjective and objective evaluations show that proposed algorithm is better than existing algorithms. The proposed algorithm is expected to image quality enhancement in some fields that require a improvement of the dynamic range due to the changes in the viewing condition." @default.
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- W2141895543 date "2012-12-28" @default.
- W2141895543 modified "2023-09-27" @default.
- W2141895543 title "Multi Scale Tone Mapping Model Using Visual Brightness Functions for HDR Image Compression" @default.
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- W2141895543 doi "https://doi.org/10.7840/kics.2012.37a.12.1054" @default.
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