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19 January 2009Exposure-adaptive color-image enhancement
In many cases, it is not possible to faithfully capture shadow and highlight image data of a high dynamic range (HDR)
scene using a common digital camera, due to its narrow dynamic range (DR). Conventional solutions tried to solve the
problem with an captured image which has saturated highlight and/or lack of shadow information. In this situation, we
introduce a color image enhancing method with the scene-adaptive exposure control. First, our method recommends an
optimal exposure to obtain more information in highlight by the histogram-based scene analysis. Next, the proposed
luminance and contrast enhancement is performed on the captured image. The main processing consists of luminance
enhancement, multi-band contrast stretching, and color compensation. The luminance and chrominance components of
input RGB data is separated by converting into HSV color space. The luminance is increased using an adaptive log
function. Multi-band contrast stretching functions are applied to each sub-band to enhance shadow and highlight at the
same time. To remove boundary discontinuities between sub-bands, the multi-level low-pass filtering is employed. The
blurred image data represents local illumination while the contrast-stretched details correspond to reflectance of the
scene. The restored luminance image is produced by the combination of multi-band contrast stretched image and multilevel
low-pass filtered image. Color compensation proportional to the amount of luminance enhancement is applied to
make an output image.