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Adaptive filter design for wavelet decomposition and reconstruction in image processing application

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Title: Adaptive filter design for wavelet decomposition and reconstruction in image processing application

Authors: M. Santhosh, B. Stephen Charles, M. N. Giri Prasad

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2012

Volume: 7

Issue: 3

Language: English

Categories
Computer Science (14978) Signal Processing (1285) Wavelet Analysis (6) Algorithms (766) Image Processing (1456)

Abstract

The design of filtration logic in wavelet transformation is been focused in this paper. The conventional wavelet transformation approaches are observed to be very effective in providing resolution information for each orientation. Though wavelets are been used as a prominent approach for image compression, the accuracy of the image processing is mainly depends on the filters used and their relative relation for their decomposition and reconstruction operation. In this paper an approach towards designing of filters with adaptive relation is proposed. The simulative observation presents a relatively better observation in image coding for the proposed approach.

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