scholarly journals Standard Intensity Deviation Approach based Clipped Sub Image Histogram Equalization Algorithm for Image Enhancement

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Sandeepa K ◽  
Basavaraj N ◽  
J S
Keyword(s):  
Image Enhancement ◽  
Histogram Equalization ◽  
Image Histogram ◽  
Standard Intensity ◽  
Equalization Algorithm

scholarly journals Image Enhancement using Recursive Standard Intensity Deviation Based Clipped Sub Image Histogram Equalization

2019 ◽  
Vol 9 (2) ◽  
pp. 3933-3937
Keyword(s):  
Image Enhancement ◽  
Histogram Equalization ◽  
Light Conditions ◽  
Low Light ◽  
Image Histogram ◽  
Output Image ◽  
Standard Intensity ◽  
Underwater Image ◽  
Image Inspection ◽  
Low Exposure

The low exposure image enhancement has become indispensable inimage processing for better visibility. The most challenging in image enhancement is especially to curtail overenhancement problems. This paper presents a method, performs the separation of the histogram based on respective standard intensity deviation value and then recursively equalizes all sub histograms independently. The over-enhancement problem is minimized by this method. It applies more in an underwater image, because of its low light conditions. The experiment results are analyzed in terms of entropy and output image inspection. The proposed method results show significant improvement over earlier recursive based histogram equalization algorithms.

scholarly journals Image Enhancement using Recursive Separate Standard Intensity Deviation Based Clipped Sub Image Histogram Equalization

2020 ◽  
Vol 9 (3) ◽  
pp. 782-787
Keyword(s):  
Threshold Value ◽  
Histogram Equalization ◽  
Specific Region ◽  
Recursive Algorithms ◽  
Image Histogram ◽  
Standard Intensity ◽  
Equalization Algorithm ◽  
Low Exposure ◽  
Average Information ◽  
Mammogram Images

To improve image contrast, this paper introduces a recursive separate standard intensity deviation based clipped sub image histogram equalization method. This is an extension of standard intensity deviation value based sub image histogram equalization algorithm, in terms of histogram separation and equalization. In existing equalization methods do not effectively utilizes the information from different region in equalization process. In this scheme, the image histogram is bisected based on standard intensity deviation value. The further separation is carried out based on the specific region threshold value and the resulting four sub histograms are equalized individually. This is an effective method for enhancing, low exposure, medical and mammogram images and for addressing the over-enhancement problem. The performance evaluation of the proposed method is presented with the help of average information and visual quality assessment and the proposed algorithm outperforms existing recursive algorithms based on histogram equalization.

An Improved Color Image Enhancement Algorithm Based on 3-D Color Histogram Equalization

2013 ◽  
Vol 321-324 ◽  
pp. 1133-1137
Author(s):  
Yu Ting Song ◽  
Xiu Hua Ji ◽  
Shi Lin Zhao
Keyword(s):  
Image Enhancement ◽  
Color Image ◽  
Histogram Equalization ◽  
Color Images ◽  
Color Histogram ◽  
Test Results ◽  
Gray Scale ◽  
Color Image Enhancement ◽  
Equalization Algorithm ◽  
Enhancement Algorithm

This paper proposes an improved color image enhancement algorithm based on 3-D color histogram equalization algorithm. When the existed 3-D color histogram equalization algorithms in the literatures are applied in processing dim color images, the processed color images often turn pale due to the decrease of color-saturations and have false contours due to gray-scale merging phenomenon in the histogram equalization algorithm. In this paper, the proposed algorithm can make more pixels of the processed color images keep their color-saturations and reduce the gray-scale merging with Logarithmic histogram equalization algorithm. Test results with dim color images present a better effect of image enhancement.

Adaptive clip-limit-based bi-histogram equalization algorithm for infrared image enhancement

2020 ◽  
Vol 59 (28) ◽  
pp. 9032
Author(s):  
Abhisek Paul ◽  
Tandra Sutradhar ◽  
Paritosh Bhattacharya ◽  
Santi P Maity
Keyword(s):  
Image Enhancement ◽  
Infrared Image ◽  
Histogram Equalization ◽  
Equalization Algorithm

An Embedded Infrared Image Enhancement System Based on DSP and FPGA

2012 ◽  
Vol 505 ◽  
pp. 263-266
Author(s):  
Dong Mei Liu ◽  
Tao Zhang ◽  
Chuan Li Yin ◽  
Xiao Qiang Ji
Keyword(s):  
Real Time ◽  
Image Enhancement ◽  
High Speed ◽  
High Performance ◽  
Infrared Image ◽  
Processing System ◽  
Histogram Equalization ◽  
Running Time ◽  
Equalization Algorithm ◽  
Enhancement Algorithm

According to the disadvantage of the large noises of histogram equalization algorithm, a new adaptive image enhancement algorithm is presented. First, the statistical histogram of the infrared image is done. Then the threshold of plateaus Equalization is calculated and the statistical histogram is modified. Finally the bright values of the pixels of the image are changed. An embedded high speed image enhancement processing system on high performance DSP TMS320DM642 and FPGA was designed. Experimental results with real images shown that the system can improve the contrast of the infrared image, limit the noises of the enhancement image, and effectively enhance the infrared image, the running time of the program is shorter, so it can meet the requirements of real-time in the project.

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