Lunar Image Enhancement Algorithm Using Dark Channel Prior and Histogram Equalization

2015 ◽  
Author(s):  
Ka Meng Ip ◽  
Xiaolin Tian
Keyword(s):  
Image Enhancement ◽  
Histogram Equalization ◽  
Dark Channel Prior ◽  
Dark Channel ◽  
Enhancement Algorithm

scholarly journals Research on underwater image enhancement algorithm based on improved DCP

2021 ◽  
Vol 2083 (4) ◽  
pp. 042008
Author(s):  
Zhe Wu ◽  
Jianfgui Han ◽  
Chenghao Cao
Keyword(s):  
Image Enhancement ◽  
Transfer Rate ◽  
Color Correction ◽  
Dark Channel Prior ◽  
Underwater Image ◽  
Depth Analysis ◽  
Dark Channel ◽  
Color Bias ◽  
Enhancement Algorithm ◽  
Priority Algorithm

Abstract All for underwater images, there are some drawbacks, such as low definition, serious color bias, dark brightness, etc. On the basis of in-depth analysis of common image enhancement algorithms, This paper uses the improved dark channel priority algorithm to enhance the underwater image, Improving the contrast of underwater images and color correction of underwater images. Color correction is added based on dark channel prior algorithm; Make the image look more even, higher contrast, more acceptable. The improved algorithm model has a higher transfer rate; PSNR is more balanced and has better contrast to meet the requirements of underwater image observation.

Infrared traffic image enhancement algorithm based on dark channel prior and gamma correction

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740044 ◽  
Author(s):  
Lintao Zheng ◽  
Hengliang Shi ◽  
Ming Gu
Keyword(s):  
Image Enhancement ◽  
Traffic Engineering ◽  
Infrared Imaging ◽  
Infrared Image ◽  
Dark Channel Prior ◽  
Gamma Correction ◽  
Blurred Vision ◽  
Low Contrast ◽  
Dark Channel ◽  
Enhancement Algorithm

The infrared traffic image acquired by the intelligent traffic surveillance equipment has low contrast, little hierarchical differences in perceptions of image and the blurred vision effect. Therefore, infrared traffic image enhancement, being an indispensable key step, is applied to nearly all infrared imaging based traffic engineering applications. In this paper, we propose an infrared traffic image enhancement algorithm that is based on dark channel prior and gamma correction. In existing research dark channel prior, known as a famous image dehazing method, here is used to do infrared image enhancement for the first time. Initially, in the proposed algorithm, the original degraded infrared traffic image is transformed with dark channel prior as the initial enhanced result. A further adjustment based on the gamma curve is needed because initial enhanced result has lower brightness. Comprehensive validation experiments reveal that the proposed algorithm outperforms the current state-of-the-art algorithms.

Block-adjusted Image Enhancement Algorithm Combining Dark Channel Prior with MSRCR

2019 ◽  
Vol 48 (7) ◽  
pp. 710005
Author(s):  
梅英杰 MEI Ying-jie ◽  
宁媛 NING Yuan ◽  
陈进军 CHEN Jin-jun
Keyword(s):  
Image Enhancement ◽  
Dark Channel Prior ◽  
Dark Channel ◽  
Enhancement Algorithm

scholarly journals An Enhancement of Underwater Images using DCP and CLAHE Algorithm

2019 ◽  
Vol 8 (4) ◽  
pp. 2805-2813
Keyword(s):  
Image Enhancement ◽  
Correlation Method ◽  
Histogram Equalization ◽  
Experimental Result ◽  
Dark Channel Prior ◽  
Resource Requirement ◽  
Adaptive Histogram Equalization ◽  
Underwater Image ◽  
Dark Channel ◽  
Rgb Image

The lack of resource requirement in this population world, we are in a position to require another resources. In this regard, ocean is one of our sustenance. It is the exact platform for various applications like, transport, food, energy etc., but still we are surveyed partly at all aspects. One of the main focus of challenge is scattering of light as it penetrate from air to water which presents us with a bluish background while studying the scenery. In this, added to this there is a hazy appearance in the visuals and calls for Image Enhancement techniques. Here, Dark Channel Prior(DCP) is used to remove the haze and noise induced by the bluish environment. However, this proposal of method is also used to increase darkness of the image, Contrast Limited Adaptive Histogram Equalization (CLAHE) is used on the RGB image to enhance the contrast and intensity of the image. Finally, we get visually pleasing result, colour correlation method is carried out. The experimental result shows that a enhanced underwater image from the base image, and mostly useful to analyze and monitoring the underwater images.

scholarly journals Specular Reflection Image Enhancement Based on a Dark Channel Prior

2021 ◽  
Vol 13 (1) ◽  
pp. 1-11
Author(s):  
Ye Xin ◽  
Zhenhong Jia ◽  
Jie Yang ◽  
Nikola K. Kasabov
Keyword(s):  
Image Enhancement ◽  
Specular Reflection ◽  
Dark Channel Prior ◽  
Dark Channel ◽  
Reflection Image

scholarly journals Restoration and Enhancement of Underwater Images Based on Bright Channel Prior

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Yakun Gao ◽  
Haibin Li ◽  
Shuhuan Wen
Keyword(s):  
Histogram Equalization ◽  
New Method ◽  
Dark Channel Prior ◽  
Image Dehazing ◽  
Underwater Environment ◽  
Dark Channel ◽  
Bright Channel Prior ◽  
Channel Image ◽  
Atmospheric Light

This paper proposed a new method of underwater images restoration and enhancement which was inspired by the dark channel prior in image dehazing field. Firstly, we proposed the bright channel prior of underwater environment. By estimating and rectifying the bright channel image, estimating the atmospheric light, and estimating and refining the transmittance image, eventually underwater images were restored. Secondly, in order to rectify the color distortion, the restoration images were equalized by using the deduced histogram equalization. The experiment results showed that the proposed method could enhance the quality of underwater images effectively.

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