Analysis of color Image Enhancement Using DWT, Wavelet Shrinkageand FHE Methods

Ashish Dwivedi, Nirupma Tiwari


Image enhancement (IE) is very important in the field where visual appearance of an image is the main. Image enhancement is the process of improving the image in such a way that the resulting or output image is more suitable than the original image for specific task. With the help of image enhancement process the quality of image can be improved to get good quality images so that they can be clear for human perception or for the further analysis done by machines.Image enhancement method enhances the quality, visual appearance, improves clarity of images, removes blurring and noise, increases contrast and reveals details. The aim of this paper is to study and determine limitations of the existing IE techniques. This paper will provide an overview of different IE techniques commonly used. We Applied DWT on original RGB image then we applied FHE (Fuzzy Histogram Equalization) after DWT we have done the wavelet shrinkage on Three bands (LH, HL, HH). After that we fuse the shrinkage image and FHE image together and we get the enhance image.

Full Text:



Anu Namdeo, Sandeep Singh Bhadoriya, “A Review on Image Enhancement Techniques with its Advantages and Disadvantages”.IJSART - Volume 2 Issue 5 –MAY 2016 ISSN [ONLINE]: 2395-1052

Brindha, Bharathi, Anusuya, Praiseline Karunya, “IMAGE ENHANCEMENT TECHNIQUES: A REVIEW”. IJRET: International Journal of Research in Engineering and Technology eISSN: 2319-1163 | pISSN: 2321-7308 Volume: 04 Issue: 05 | May-2015,

Ashwini R. Karande, A. L. Renke, “A Review on Image Enhancement Methods”. International Journal of Computer Applications (0975 – 8887) Volume 164 – No 6, April 2017

Priyanka S. Kole, Prof .S. N. Patil, “A Survey on Various Wavelet Domain Methods for Satellite Image Enhancement”.International Journal of Engineering Science and Computing, July 2016

Elena S. Yelmanova, Yuriy M. Romanyshyn, “Medical Image Contrast Enhancement Based on Histogram”. 978-1-5386-1701-4/17/$31.00 ©2017 IEEE

Manisha Turkar, Prof. Nitin S. Ambatkar, “Wavelet Based Image Enhancement Using Adaptive Fusion Methodology”. 2016 International Conference on Electrical Power and Energy Systems (ICEPES) Maulana Azad National Institute of Technology, Bhopal, India. Dec 14-16, 2016, 978-1-5090-2476-6/16/$31.00 ©2016 IEEE

Manasvi Kalra and Sujeet Kumar,” Various Image Enhancement Techniques for Skin Cancer Detection Using Mobile App”, IEEE International Conference on Computer, Communication and Control (IC4-2015).

R.Thriveni and Dr.Ramashri,” Edge Preserving Satellite Image Enhancement Using DWT-PCA Based Fusion and Morphological Gradient”,



  • There are currently no refbacks.

© International Journals of Advanced Research in Computer Science and Software Engineering (IJARCSSE)| All Rights Reserved | Powered by Advance Academic Publisher.