Date of Publication :30th March 2018
Abstract: The quality of an image is mostly affected due to weather, lighting or equipment that has been used for image capture. Image enhancement is the process of adjusting or enhancing the digital images by altering its structural features like contrast and resolution so that the results are more suitable for display or further image analysis. The enhancement process includes removal of noise, sharpen or brighten the image and making it clearer to identify the key features. In this paper, Image Enhancement techniques such as Point processing and Histogram Equalization techniques are reviewed and discussed. Point processing operations contain image negative, contrast stretching, thresholding transformation, gray level slicing, logarithmic transformation and power-law transformation. Under Histogram Equalization, Contrast Limited Adaptive Histogram Equalization (CLAHE), Equal Area Dualistic Sub-Image Histogram Equalization (DSIHE), Dynamic Histogram Equalization (DHE) Algorithms are reviewed. The concepts of all these techniques are discussed, compared and their performances are evaluated based on the parameters Absolute Mean Brightness Error (AMBE), Contrast and Peak-Signal-to-Noise-Ratio (PSNR) values
Reference :
-
- Raman Maini and HimanshuAggarwal,”A Comprehensive Review of Image Enhancement Techniques”, Journal Of Computing, Volume 2, Issue 3, March 2010, ISSN 2151-9617.
- Dinesh Sonker and M P Parsai, “Comparison of Histogram Equalization Techniques for Image Enhancement of Grayscale images of Dawn and Dusk”, International Journal of Modern Engineering Research (IJMER) Vol. 3, Issue. 4, Jul - Aug. 2013 pp-2476-2480.
- H K Sawant and Mahentra Deore, “A Comprehensive Review of Image Enhancement Techniques”, International Journal of Computer Technology and Electronics Engineering (IJCTEE) Volume 1, Issue 2.
- Ravindra Pal Singh and Manish Dixit, “Histogram Equalization: A Strong Technique for Image Enhancement”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8, No.8 (2015), pp.345-352.
- Seema Rajput and S R Suralkar, “Comparative Study of Image Enhancement Techniques”, International Journal of Computer Science and Mobile Computing, IJCSMC, Vol. 2, Issue. 1, January 2013.
- P Janani, J Premaladha and K S Ravichandran, “Image Enhancement Techniques: A Study”, Indian Journal of Science and Technology, vol 8(22), DOI: 10.17485/ijst/2015/v8i22/79318, September 2015.
- Krishan Kant Lavania, Shivali and Rajiv Kumar, “A Comparative study of Image Enhancement using Histogram Approach”, International Journal of Computer Applications (0975 – 8887) Volume 32– No.5, October 2011.