DWT and P C a Based Image Enhancement with local Neighborhood filter Mask

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2013, Vol 9, Issue 2

Abstract

 In this letter, a new satellite image contrast enhance- ment technique based on the discrete wavelet transform (DWT) and singular value decomposition has been proposed. The tech- nique decomposes the input image into the four frequency sub- bands by using DWT and estimates the singular value matrix of the low–low subband image, and, then, it reconstructs the en- hanced image by applying inverse DWT. The technique is com- pared with conventional image equalization techniques such as standard general histogram equalization and local histogram equalization, as well as state-of-the-art techniques such as bright- ness preserving dynamic histogram equalization and singular value equalization. The experimental results show the superiority of the proposed method over conventional and state-of-the-art techniques

Authors and Affiliations

R Vani

Keywords

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  • EP ID EP98691
  • DOI -
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How To Cite

R Vani (2013).  DWT and P C a Based Image Enhancement with local Neighborhood filter Mask. IOSR Journals (IOSR Journal of Computer Engineering), 9(2), 67-70. https://www.europub.co.uk/articles/-A-98691