Image enhancement is used to improve the poor quality of an image to make it useful for human and for machine use. This paper suggests two methods for contrast image enhancement to preserve brightness of an image. This method is applied on 2D histogram. In 2D histogram preserving color value is very important part. Local feature enhancement technique is used to improve local features of an image. Local feature enhancement technique is used to sharpen the edges. Contrast Streching with its brightness factor is used to improve the global features of an image. This two method are used in combination that is first take the weighted difference of two methods .The second method is that first we will going to use local feature enhancement technique obtain the output of it and on that output apply Contrast Streching with brightness factor and obtain the final output that is enhanced image. In this we are also exploring the new ideas of local and global method for contrast image enhancement. Global Contrast Image Enhancement is basically done by three ways Histogram Equalization, Contrast Stretching and Unsharp masking and Edge Sharpening .

 

Published In : IJCSN Journal Volume 3, Issue 6

Date of Publication : December 2014

Pages : 440 - 443

Figures : 01

Tables : --

Publication Link : A Combination of Local and Global Method for Contrast Image Enhancement - A Review Approach

 

 

 

Sampada S Pathak : is a research scholar of M.Tech third semester of Rajiv Gandhi College of Engineering and Research, Nagpur. She completed her graduation in Information technology stream from Kavikulguru Institute of technology & Science, Ramtek. The area of her interest in research work is Image Processing and Remote Sensing.

Ganesh Padole : is a Assistant Professor in Rajiv Gandhi College of Engineering and Research, Nagpur. The area of his interest in research work is Image Processing and Artificial Intelligence.

 

 

 

 

 

 

 

Contrast Image enhancement

local

global

2D histogram

discrete entropy

image enhancement factor

Global contrast image enhancement method enhances the low contrast of an image in a global manner. The enhanced image obtained by global method does not have noise and other type of ringing artifacts in it. The exposure for contrast does not remain same in some part it is low and in some part of an image it is high where high contrast gain occurs. When we use global method we lack local details. When local contrast image enhancement method is applied it enhances local details of an image but the output image obtained with noise and other artifacts. Both methods have certain disadvantages when used separately hence the suggested method is used as combination of local and global method which works in a better way.

 

 

 

 

 

 

 

 

 

[1] Ramdeep Kaur ,Navleen Kaur “A Review on Image Enhancement Techniques” International Journal of Latest Trends in Engineering and Technology (IJLTET) Vol. 4 Issue 1 May 2014. [2] S. Somorjeet Singh, Th. Tangkeshwar Singh, N. Gourakishwar Singh, H. Mamata Devi “Global Local Contrast Enhancement” International Journal of Computer Applications (0975 – 8887) Volume 54– No.10, September 2012. [3] Shefali Gupta, Yadwinder Kaur “A review on different local and global contrast enhancement techniques for digital image” International Journal of Computer Applications (0975 – 8887) Volume 100– No.18, August 2014. [4] Ramandeep Kaur, Prof. Rajiv Mahajan “Evaluating the performance of dominant brightness level based color image enhancement” International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) Volume 3, Issue 4, July-August 2014 [5] Shyam Lal and Mahesh Chandra “Efficient algorithm for contrast image enhancement of natural image “ TheInternational Arab Journal of Information Technology, Vol. 11, No. 1, January 2014. [6] Vijay Kotkar and Sanjay S Gharade” Image Contrast Enhancement by preserving brightness using local and global feature.” [7] Qiyuan Tian and Jiang Duan “Local histogram based modification based on Contrast enhancement” 978-1- 4673-0174-9/12/$31.00 ©2012 IEEE. [8] Yan-Tsung Peng, Bing-Chuan Tsai, and Shanq-Jang Ruan “A subimage edge preservation method for histogram equalization” 978-1-4799-0434-1/13/$31.00 ©2013 IEEE ICICS 2013. [9] Gabriel Babatunde Iwasokun1 and Oluwole Charles Akinyokun2 “Image Enhancement Method: A review “ British Journal of Mathematics & Computer Science 4(16): 2251-2277, 2014 [10] Archana Singh and Neeraj Kumar “A Global and Local Contrast based Image Enhancement technique based on standard deviation International Journal of Computer Applications” (0975 – 8887) Volume 93 – No 2, May 2014.