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Role of Statistical Parameter in Digital Image Enhancement


Affiliations
1 Computer Centre, University of Lucknow, Lucknow (U.P.) –226 007, India
 

There are several domains like medical, astronomical, hybrid techniques, remote sensing, pattern recognition, high resolution display etc., in which people want to get an image and store it so that the images may be used to extract some valuable information using image quality features in the future. Image qualityestimation aims to evaluate the image information automatically by a computational model hence plays a significant role in digital image processing systems. In this paper to meet the need of accuracy and effectiveness for gray scale images, role of various image enhancement quality features are discussed.

Keywords

Mean Square Error(MSE), Signal to Noise Ratio(SNR), Structural Content(SC), Image Enhancement, Maximum Difference. Recall.
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  • Role of Statistical Parameter in Digital Image Enhancement

Abstract Views: 231  |  PDF Views: 0

Authors

Dhirendra Pal Singh
Computer Centre, University of Lucknow, Lucknow (U.P.) –226 007, India

Abstract


There are several domains like medical, astronomical, hybrid techniques, remote sensing, pattern recognition, high resolution display etc., in which people want to get an image and store it so that the images may be used to extract some valuable information using image quality features in the future. Image qualityestimation aims to evaluate the image information automatically by a computational model hence plays a significant role in digital image processing systems. In this paper to meet the need of accuracy and effectiveness for gray scale images, role of various image enhancement quality features are discussed.

Keywords


Mean Square Error(MSE), Signal to Noise Ratio(SNR), Structural Content(SC), Image Enhancement, Maximum Difference. Recall.