A Method of Color Image Denoised and Enhanced using Wavelet Transform
Swati D. Nikam1, Sachin D. Ruikar2
1Swati D. Nikam, achieving masters degree in Electronics and Telecommunication Engineering in Pune, India.
2Professor Sachin D. Ruikar, Electronics and Telecommunication Department PHD. in image processing., India.
Manuscript received on April 26, 2014. | Revised Manuscript received on May 03, 2014. | Manuscript published on May 05, 2014. | PP: 162-165 | Volume-4 Issue-2, May 2014. | Retrieval Number: B2252054214/2014©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/

Abstract: The objective of the image enhancement is to remove the noise. Real color images are images with noise. In traditional image enhancement algorithms color images are firstly converted to gray images. These algorithms enhanced noise while they enhanced image. In this paper wavelet transform is used for color image enhancement. Wavelet transform is an efficient tool to represent a multi resolution analysis of an image. A novel method of color image enhancement based on Hue invariability in HIS color pattern is presented here.
Keywords: Image enhancement, HIS color space, Wavelet transform.