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The paper proposes a method based on guided filter to enhance the driver face image under weak light environment. First, image is converted from RGB color space to HSV color space. Then based on the theory of Retinex algorithm, guided filter is applied to estimate the illumination, obtaining the reflection image which only contains the characteristics of the object. In order to restore the color of...
In this paper, a LED large screen real-time adaptive image enhancement algorithm is proposed. It can offset the changes in the outside light under complex illumination, to achieve the best visual effects in humans' eyes in real time.
We propose a simple method to improve human depth sensation for 2D images without depth information. In depth perception of 2D images, a lot of human monocular depth cues are used. Here we focus attention on the shading. And the improvement of depth sensation is achieved by emphasizing it. Based on the idea of painting, shade is expanded and its gradient is made steep. In order to change the pattern...
We propose an effective and robust method to enhance the color image under low or non-uniform lighting conditions that models global and local adaptation of the human visual system. The main idea is that we preserve the discontinuities of the local luminance with combined most significant bit and an adaptive smoothing mask. The local contrast enhancement adjusts the intensity of each pixel based on...
An automatic algorithm of degraded color document image enhancement is proposed based on our previous work on Natural Rendering of Color Image using Retinex (NRCIR) with respects to document image characteristics. In the proposed work, an adaptive workflow is designed to enhance both luminance and chrominance contrast of document image while maintaining degradations within tolerance and hue-shift...
In this paper, considering the adaptive characteristics of human visual system, a new color image enhancement algorithm based on human visual system adaptive filter is proposed. The new algorithm is divided into three major parts: obtain luminance image and background image, adaptive adjustment and color restoration. Unlike traditional color image enhancement algorithms, the adaptive filter in the...
Many monitoring and reconnaissance images are shot in night without auxiliary light, so those images are usually very dim and need enhancement processing which can be realized by Retinex with a good effect, but Retinex needs the color restoration. Based on the contrastive analysis on the RGB and the HSI color space, the differences, advantages and disadvantages are compared considering the transformation...
According to the Retinex theory, the color of an object is jointly decided by its reflecting ability to three independent wave-length lights-lights of short, medium, and long wave. The reflecting ability of the object in a certain wave band is an immanence nature which does not rely on lamp-house itself. In the Retinex model, the brightness values of each pixel have been replaced by an ratio of the...
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