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To improve the clearness of images captured in the low illumination environment, a new enhancement algorithm was presented based on the popular histogram equalization method. It can transform the histogram to the ordered shape to highlight the contrast of selected interest gray level and fit for the human visual. The experiment has shown that the new algorithm has lower mean square error and higher...
Researchers have proposed various image enhancement methods to make images better correlate to the human visual system. This letter proposed an innovative image enhancement framework that combines bilateral tone adjustment (BiTA) and saliency-weighted contrast enhancement (SWCE) methods. Unlike most curve-based global contrast enhancement methods, BiTA enhances the mid-tone regions that normally contain...
Feature enhancement in an image is to reinforce some exacted features so that it can be used for object classification and detection. As the thermal image is lack of texture and colorful information, the techniques for visual image feature enhancement is insufficient to apply to thermal images. In this paper, we propose a new gradient-based approach for feature enhancement in thermal image. We use...
In this paper, the disadvantage of using traditional histogram equalization for infrared image enhancement is discussed. Then by analyzing the human visual responds to the logarithm of image lightness, a modified method of histogram equalization algorithm is proposed based on the visual characteristic. The method can improve the displaying ability of image details through adjusting the pixel contrast...
This paper described a new method based on the Grey relational analysis (GRA) for image local contrast enhancement. With regard to the drawbacks of the traditional image local enhancement, we firstly took advantage of the GRA to evaluate the mean edge gray value in the window of the neighborhood instead of using other conventional edge detection operator, and adjusted the contrast enhancement function...
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...
We address the problem of contrast enhancement for color images. Methods directly derived from gray-level enhancement such as histogram equalization produce significant artifacts, including severe color shifts. Other enhancement techniques that are derived from the Retinex theory may suffer from strong `halo' effects. Our method to enhance images is inspired from the Retinex theory and tries to mimic...
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