Image detail enhancement method based on multi-scale bilateral texture filter

Zhi-cheng, 郝志成 Hao; Chuan, 吴川 Wu; Hang, 杨航 Yang; Ming, 朱明 Zhu

doi:10.3788/co.20160904.0423

Cited by 4 publications

(2 citation statements)

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“…Considering the pixels of an image have a tendency of entirely occupation of the possible gray level and have an evenly then this image has a high degree of contrast and a large dynamic range [3]. The HE algorithm uses the cumulative distribution function (CDF) to map the specified input gray level to the output gray level, to obtain a output gray level that has approximately uniform probability density function, in order to optimize the image contrast and dynamic range [4].…”

Section: Histogram Equilibriummentioning

confidence: 99%

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An overview of image enhancement dehazing algorithms

Liu

2023

ACE

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This dissertation is an overview of Image dehazing algorithm that is utilized to process hazy images through certain technologies to remove the image haze occlusion and interference, improve the visual effect of image. For example, the contrast, color and detail and other aspects. The research method is literature review. The image enhancement algorithms mainly include histogram equilibrium, homomorphic filtering, wavelet transformation and Retinex method. The of these algorithms will be discussed detailly in the following sections of the article. The conclusion is that due to the error of the parameter information in the image with fog, the current defogging algorithm is still unable to achieve perfect results.

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Section: Histogram Equilibriummentioning

confidence: 99%

“…In medical imaging, remote sensing imaging. Image enhancement technology has a wide range of applications in the field of character photography [2].…”

Section: Introductionmentioning

confidence: 99%