Performance Improvement of Image Enhancement Methods Using Statistical Moving Average Histogram Modification Filter

2018 ◽  
Author(s):  
Mayank Tiwari ◽  
Bhupendra Gupta ◽  
Subir Singh Lamba
Keyword(s):  
Image Enhancement ◽  
Performance Improvement ◽  
Moving Average ◽  
Histogram Modification

A histogram modification unit for real-time image enhancement

1988 ◽  
Vol 42 (1) ◽  
pp. 134
Author(s):  
A.J. McCollum ◽  
C.C. Bowman ◽  
P.A. Daniels ◽  
B.G. Batchelor
Keyword(s):  
Real Time ◽  
Image Enhancement ◽  
Histogram Modification ◽  
Real Time Image ◽  
Time Image

A histogram modification unit for real-time image enhancement

1988 ◽  
Vol 42 (3) ◽  
pp. 387-398 ◽  
Author(s):  
A.J. McCollum ◽  
C.C. Bowman ◽  
P.A. Daniels ◽  
B.G. Batchelor
Keyword(s):  
Real Time ◽  
Image Enhancement ◽  
Histogram Modification ◽  
Real Time Image ◽  
Time Image

scholarly journals Image Enhancement Methods for Remote Sensing: A Survey

2021 ◽  
Author(s):  
Nur Huseyin Kaplan ◽  
Isin Erer ◽  
Deniz Kumlu
Keyword(s):  
Remote Sensing ◽  
Image Enhancement ◽  
Hybrid Methods ◽  
Input Image ◽  
Transform Domain ◽  
Histogram Modification ◽  
Contrast Gain ◽  
Gain Enhancement ◽  
Color Preservation

The quality of the images obtained from remote sensing devices is very important for many image processing applications. Most of the enhancement methods are based on histogram modification and transform based methods. Histogram modification based methods aim to modify the histogram of the input image to obtain a more uniform distribution. Transform based methods apply a certain transform to the input image and enhance the image in transform domain followed by the inverse transform. In this work, both histogram modification and transform domain methods have been considered, as well as hybrid methods. Moreover, a new hybrid algorithm is proposed for remote sensing image enhancement. Visual comparisons as well as quantitative comparisons have been carried out for different enhancement methods. For objective comparison quality metrics, namely Contrast Gain, Enhancement Measurement, Discrete Entropy and Average Mean Brightness Error have been used. The comparisons show that, the histogram modification methods have a better contrast improvement, while transform domain methods have a better performance in edge enhancement and color preservation. Moreover, hybrid methods which combine the two former approaches have higher potential.

The Application of Image Enhancement Technology in Ammunition Fuze Safety Detector

2014 ◽  
Vol 940 ◽  
pp. 513-516 ◽  
Author(s):  
De Bao Zhang ◽  
Wen Qing Huang ◽  
Zhong Wei Li ◽  
Lei Zhang
Keyword(s):  
Real Time ◽  
Image Enhancement ◽  
Remote Detection ◽  
Image Smoothing ◽  
Histogram Modification ◽  
X Ray ◽  
The Real ◽  
Enhancement Technology ◽  
Computer Image Processing ◽  
Detection Mode

Aiming to the traditional detection mode can’t do the real-time detection of fixed ammunition fuze, nor discover the fuze arming in time ,thus, cause the ammunition explosion and the damage to the texting personnel on the scene. Put the Image enhancement technology into the safety detection, with image smoothing processing ,sharpening processing, Histogram modification and other technologies, enhanced the detection images of Fuze safety’s X-ray; then, it realized the visualization of the safety detection by computer image processing, with the application of the Real-time remote detection through LAN, improved the detection’s accuracy and efficiency, ensured the timeliness and safety of the detection.

scholarly journals Performance Improvement in Noisy Image Enhancement

2010 ◽  
Vol 1 (27) ◽  
pp. 44-45
Author(s):  
Adil Siddiqui ◽  
Meenakshi Sharma ◽  
Manish Zadoo ◽  
Salil Khare
Keyword(s):  
Image Enhancement ◽  
Performance Improvement ◽  
Noisy Image

Entropy maximisation histogram modification scheme for image enhancement

2015 ◽  
Vol 9 (3) ◽  
pp. 226-235 ◽  
Author(s):  
Zhao Wei ◽  
Huang Lidong ◽  
Wang Jun ◽  
Sun Zebin
Keyword(s):  
Image Enhancement ◽  
Histogram Modification ◽  
Entropy Maximisation
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