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Until now, most of methods for High Dynamic Range (HDR) images focus on tone mapping. They can compress large range luminance values so that they can be displayed on ordinary devices. However, the lighting condition in which the images are taken is not considered. As a result, the mapped images may have color cast. Therefore, to get an image that is similar to direct observation of a scene for human...
Tone-mapping operators are used to produce low dynamic range versions of the high dynamic range images, while preserving as much details as possible. We have proposed a tone-mapping operator which is built on an existing histogram adjustment technique. It incorporates certain characteristics of the human visual system, to restrain the problem of extreme contrast enhancement of certain segments and...
Recognizing human faces in various lighting conditions is quite difficult for a surveillance system. The problem becomes more difficult if face images are taken in extremely high dynamic range scenes. Most of automatic face recognition systems assume the images are taken under well controlled illumination. The face segmentation as well as recognition problem is much simpler under such a constrained...
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