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A novel and effective framework for the enhancement of low lighting images is proposed in this paper. The novel framework presents an optimized de-haze algorithm on inverted images to enhance the low-dynamic-range images which optimizes the complicated process of computing the parameters A and t(x). The improved gamma correction is used to enhance the image contrast for providing better visual performance...
In this research, we propose the image correction method for low-illuminance image of the normal video camera. In the motion recognition for low-light video images which was filmed at night, it is possible to improve the accuracy of recognition by intensity correction and noise removal as preparation. It is possible to realize robust motion recognition to the changes in illumination. Therefore, in...
Enhancement of text information from the images captured by mobile camera is a very challenging task due to the high variation between the background and the foreground that contains shadows, poor contrast and non uniform illumination. In this paper, denoising along with binarization algorithm that uses phase congruency features is proposed to extract the text information from the document images...
Although recognition of vehicle license plate is well studied, characters can be obscured by color stains due to rust, mud, peeling paint or fading colors and become unrecognizable. In this paper, two approaches are presented to remove stains from license plate images by using photometric stereo technique and hole filling algorithm of texture synthesis respectively. The former method extracts height...
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