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The underwater images not only offer an interesting sight, but also have a challenge to monitor marine species and underwater activities. Taking a beautiful underwater image requires extraordinary equipment and technique. Usually, there are distorted colors on the image caused by poor light and water quality. So it requires an image enhancement process to get a proper photo to display. This research...
In this paper a non-sub-sampled shearlet transform model for image enhancement to improve image quality by maximizing the information content in the input image is proposed and implemented. This is inspired by two basic human visual features: i) visual adaptation, ii) local contrast enhancement of color image. We achieve the goal in different stages: In initial stage evolved upon the shearlet transformation...
Image enhancement is a key processing on an image for wide range of applications. Contrast enhancements improve the perceptibility of an image by changing the pixels intensity of the input image. In this study, a novel method for image contrast enhancement is proposed based on Discrete Shearlet Transform (DST) for color images. In order to obtain high contrast enhancement image, the RGB image is first...
Integrated circuit (IC) defective image enhancement is very important for the classification and identification of IC real defects. This paper proposes a new algorithm of IC defect image enhancement. Firstly, histogram equalization is used in the IC defective image, which is to improve the contrast of image. Secondly, the image is transformed from RGB to IHS color space, and then space lightness is...
The mission of intelligent vehicles is to assist the driver in decision making. The researchers have paid attention on developing various driver assistance systems in order to assure road safety. Most of the driver assistance systems do not produce accurate results in poor weather conditions. Poor visibility is considered to be a main reason for accidents. When the weather is poor (haze, fog, darkness,...
Color Images captured under complex lighting conditions may suppress the visual cue information. In order to perform consistent analysis from the images they need to be enhanced in terms of brightness along with colors restored with minimal computational overhead. Transform domain image enhancement offers a superior visual brilliance. This paper presents Hirschman Optimal Transform (HOT) based enhancement...
In this article, we present a ball detection algorithm based on color information and Hough transform. Our objective is to detect the color balls under complex environments and different illumination conditions. To do so, we firstly apply the multiscale Retinex algorithm to enhance the image. Then, an adaptive Hough transform is introduced to locate the position of the balls in order to reduce the...
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