scholarly journals Image Enhancement for Surveillance Video of Coal Mining Face Based on Single-Scale Retinex Algorithm Combined with Bilateral Filtering

Symmetry ◽  
2017 ◽  
Vol 9 (6) ◽  
pp. 93 ◽  
Author(s):  
Lei Si ◽  
Zhongbin Wang ◽  
Rongxin Xu ◽  
Chao Tan ◽  
Xinhua Liu, ◽  
...  
Keyword(s):  
Image Enhancement ◽  
Coal Mining ◽  
Bilateral Filtering ◽  
Surveillance Video ◽  
Single Scale ◽  
Retinex Algorithm ◽  
Mining Face

scholarly journals Retinex-Based Multiphase Algorithm for Low-Light Image Enhancement

2020 ◽  
Vol 37 (5) ◽  
pp. 733-743
Author(s):  
Mohammad Abid Al-Hashim ◽  
Zohair Al-Ameen
Keyword(s):  
Image Enhancement ◽  
Processing Speed ◽  
Sigmoid Function ◽  
Light Effect ◽  
Low Light ◽  
Single Scale ◽  
Retinex Algorithm ◽  
Adequate Quality ◽  
Normalization Function

These days, digital images are one of the most profound methods used to represent information. Still, various images are obtained with a low-light effect due to numerous unavoidable reasons. It may be problematic for humans and computer-related applications to perceive and extract valuable information from such images properly. Hence, the observed quality of low-light images should be ameliorated for improved analysis, understanding, and interpretation. Currently, the enhancement of low-light images is a challenging task since various factors, including brightness, contrast, and colors should be considered effectively to produce results with adequate quality. Therefore, a retinex-based multiphase algorithm is developed in this study, in that it computes the illumination image somewhat similar to the single-scale retinex algorithm, takes the logs of both the original and the illumination images, subtract them using a modified approach, the result is then processed by a gamma-corrected sigmoid function and further processed by a normalization function to produce to the final result. The proposed algorithm is tested using natural low-light images, evaluated using specialized metrics, and compared with eight different sophisticated methods. The attained experiential outcomes revealed that the proposed algorithm has delivered the best performances concerning processing speed, perceived quality, and evaluation metrics.

scholarly journals Improved Bilateral Filtering for a Gaussian Pyramid Structure-Based Image Enhancement Algorithm

Algorithms ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 258 ◽  
Author(s):  
Chang Lin ◽  
Hai-feng Zhou ◽  
Wu Chen
Keyword(s):  
Image Enhancement ◽  
Gaussian Function ◽  
Color Space ◽  
Human Observer ◽  
Bilateral Filtering ◽  
Saturation Intensity ◽  
Gaussian Pyramid ◽  
Retinex Algorithm ◽  
Reflection Component ◽  
Enhancement Algorithm

To address the problem of unclear images affected by occlusion from fog, we propose an improved Retinex image enhancement algorithm based on the Gaussian pyramid transformation. Our algorithm features bilateral filtering as a replacement for the Gaussian function used in the original Retinex algorithm. Operation of the technique is as follows. To begin, we deduced the mathematical model for an improved bilateral filtering function based on the spatial domain kernel function and the pixel difference parameter. The input RGB image was subsequently converted into the Hue Saturation Intensity (HSI) color space, where the reflection component of the intensity channel was extracted to obtain an image whose edges were retained and are not affected by changes in brightness. Following reconversion to the RGB color space, color images of this reflection component were obtained at different resolutions using Gaussian pyramid down-sampling. Each of these images was then processed using the improved Retinex algorithm to improve the contrast of the final image, which was reconstructed using the Laplace algorithm. Results from experiments show that the proposed algorithm can enhance image contrast effectively, and the color of the processed image is in line with what would be perceived by a human observer.

The Adaptation Analysis of the Fully Mechanized Coal Mining Face of Huopu Mine’s Third Soft Coal Seam

2014 ◽  
Vol 1049-1050 ◽  
pp. 335-338 ◽  
Author(s):  
Fa Quan Liu ◽  
Xue Wen Geng ◽  
Yong Che ◽  
Xiang Cui
Keyword(s):  
Coal Seam ◽  
Coal Mining ◽  
Geological Condition ◽  
Soft Coal ◽  
Working Face ◽  
Mining Face ◽  
Soft Coal Seam ◽  
Working Resistance

To get the maximum coal in front of the working face of the 17# coal seam, we installed a longer beam which is 1.2m in length in the leading end of the original working face supports ZF3000/17/28, and know that working face supports’ setting load and working resistance are lower .We changed the original supports with shield supports ZY3800/15/33 that are adaptable in the geological condition and got the favorable affection.

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