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HVS의 CSF 특성을 고려한 HDR 영상의 선예도 개선
배태욱(Tae-Wuk Bae),이성학(Sung-Hak Lee) 한국정보기술학회 2011 한국정보기술학회논문지 Vol.9 No.10
iCAM06, the representative algorithm among the various HDR rendering techniques, uses fast-bilateral filter for its fast computation time. Because fast-bilateral filter uses piecewise-linear approximation and down-sampling concept in processing of image decomposition for color adaptation and tone compression, iCAM06 has a tendency to reduce the sharpness of HDR image. To solve this problem, we propose a sharpness compensation filter using contrast sensitivity function (CSF) for the sharpness enhancement of HDR images considering HVS(human vision system) in iCAM06. Experimental results show that the iCAM06 rendering using the proposed filter has better sharpness performance than default iCAM06 in the subjective and objective performance evaluation.
A Sharpness Enhancement Using the CSF for HDR Image Rendering
Dae-Hyeon Kim,Tae-Wuk Bae,Sung-Hak Lee,Young-Choon Kim,Kyu-Ik Sohng 대한전자공학회 2009 ITC-CSCC :International Technical Conference on Ci Vol.2009 No.7
The dynamic range of real-world scenes is broad in the natural world. The high-dynamic-range (HDR) image has pixel values that represent the whole range of real-world scenes. For the reproduction of HDR image, the images having the various exposure times are fused to one HDR image. Many HDR images were rendered by iCAM06 technique, the representative rendering algorithms. Because of the discrete feature of the iCAM06’s fast-bilateral filter, the iCAM06 algorithm may reduce the sharpness of HDR image. This caused that the fast bilateral filter is using a piecewise-linear approximation in the intensity domain and appropriate sub-sampling. In this paper, we proposed a sharpness enhancement technique using the contrast sensitivity function (CSF) for HDR image rendering. Experimental results show that the iCAM06 rendering using CSF has better sharpness property than the default iCAM06 in the human visual system.
이근영(Geun-Young Lee),이성학(Sung-Hak Lee),권혁주(Hyuk-Ju Kwon),송규익(Kyu-Ik Sohng) 한국정보기술학회 2016 한국정보기술학회논문지 Vol.14 No.6
Tone mapping in high dynamic range (HDR) imaging is the process which compresses an input HDR image to a low dynamic range image. Because of substantial difference between dynamic ranges of input and output images, in general, the detail decomposition precedes tone mapping for the detail preservation. In case of iCAM06 based on human vision properties, the bilateral filter is used for the detail decomposition. However, the detail decomposition in iCAM06 causes color distortion at the boundary of objects and noise magnified. In addition, rod response function in the tone mapping of iCAM06 also causes color distortion in the dark region. In this paper, we combine the detail non-decomposed image with the detail decomposed image according to local standard deviation. In order to compensate decreased detail information in the dark region which is caused by the our combination and color information distortion by rod response function, based on Bartleson-Breneman’s visual property, we modify tone mapping function with the removal of the rod response function. As a result, color distortion and noise in the dark region decrease in an image by a proposed method.
A Luminance-Adaptive Parameter of Nonlinear Tone Compression for HDR Color Reproduction
JANG, Jae-Hoon,LEE, Sung-Hak,SOHNG, Kyu-Ik The Institute of Electronics, Information and Comm 2009 IEICE transactions on fundamentals of electronics, Vol.92 No.3
<P>The Processing of high-dynamic-range (HDR) images is embodied by a lot of algorithms. This paper takes notice of one of these algorithms which is presented using the iCAM06. iCAM06 is capable of making color appearance predictions of HDR images based on CIECAM02 color predictions and incorporating spatial process models in the human visual system (HVS) for contrast enhancement. The effect of user controllable factors of iCAM06 was investigated and the best factor which corresponds with Breneman's corresponding color data sets was found. A suggested model improves color matching predictions for the corresponding color data set in Breneman's experiment.</P>
HDR 영상 렌더링을 위한 적응적 표준 편차를 이용한 자동 레인지 양방향 필터
배태욱,이성학,김병익,송규익 한국통신학회 2010 韓國通信學會論文誌 Vol.35 No.4
본 논문에서는 iCAM06에서 적응적 표준 편차를 이용함으로써 HDR 렌더링를 위한 자동 레인지 고속 양방향 필터를 제안한다. 서로 다른 노출 시간으로 촬영되고, 장면의 전체 다이나믹 레인지를 포함하는 여러 영상들은 한 장의 HDR 영상으로 만들어진다. HDR 영상 렌더링의 대표적인 알고리즘은 iCAM06이며, 이것은 국부 백색 적응, 색 순응, 및 영상 처리 변환같은 iCAM 구조에 기초한다. iCAM06의 고속 양방향 필터는 레인지 필터에서 고정 표준 편차를 사용한다. 이것은 넓고 낮은 분포를 가지는 높은 CIE 3 자극치 영역에서 불필요한 계산의 원인이 된다. 이 문제를 해결하기 위하여 경계치에 의해 나누어진 3 자극치 영상을 낮은 자극치 영상 및 높은 자극치 영상으로 나눈 후, 각 영상의 히스토그램 분포에 기초한 가변 표준 편차를 이용하여 각각 처리되어진다. 실험 결과에서 제안한 방법이 기존의 고속 양방향 필터보다 계산 속도를 개선함을 확인하였다.
시각의 공간 주파수 응답을 고려한 고속 바이래터럴 필터 분할 영역에서의 HDR 베이스 및 세부 계층 분리
이성학(Sung-Hak Lee),권혁주(Hyuk-Ju Kwon) 한국정보기술학회 2018 한국정보기술학회논문지 Vol.16 No.7
In order to effectively preserve detail information, high dynamic range(HDR) imaging methods use a method of separated detail processing. In HDR tone mapping, HDR images are usually rendered through base-detail separations due to the large difference between the input and output dynamic range. The representative detail preserved algorithm iCAM06 has a tendency to reduce the sharpness of images including dim surround because of the discrete calculation of the fast-bilateral filter(FBF). This paper proposes a noble base-detail separation and detail compensation technique using the contrast sensitivity function(CSF) in the segmented frequency domain. Experimental results show that the proposed rendering method has better sharpness features than previous methods correlated by the human visual system.
국부 영상 활동도에 적응적인 칼만 필터를 이용한 HDR 세부 영상 레이어의 잡음 제거
김태규,송인호,이성학 한국멀티미디어학회 2019 멀티미디어학회논문지 Vol.22 No.1
In High Dynamic Range (HDR) image processing, tone mapping is the process to compress an input image into a Low Dynamic Range (LDR) image. In most cases, the reason that detail preservation is prior to take over tone mapping is that the dynamic range is significantly different between input and output images. In the case of iCAM06, details are separated by using a bilateral filter, however, it causes noise amplification at the dim surround region. Thus, we suggest that the detail signal, which is separated from the bilateral filter, is combined with the base signal after an adaptive Kalman filter is applied according to the local standard deviation. We confirmed that the proposed method enhances the HDR images quality by checking the noise reduction in a dim surround region.