The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of CIRCUITS, SYSTEMS and SIGNAL PROCESSING
Transactions ID Number: 17-253
Full Name: Suhaila Sari
Position: Student
Age: ON
Sex: Female
Address: Graduate School of Science and Engineering,Saitama University,Shimo-Okubo 255, Sakura-ku, Saitama, 338-8570
Country: JAPAN
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E-mail address: suhaila@sie.ics.saitama-u.ac.jp
Other E-mails: suhaila_bs@yahoo.com
Title of the Paper: image restoration based on edgemap and wiener filter for preserving fine details and edges
Authors as they appear in the Paper: S. Suhaila, and T. Shimamura
Email addresses of all the authors: suhaila@sie.ics.saitama-u.ac.jp, shima@sie.ics.saitama-u.ac.jp
Number of paper pages: 9
Abstract: This paper presents a method for removing noise while preserving the image fine details and edges in blind condition, based on the Wiener filter and a constructed edgemap. The noisy image is denoised with different weights of Wiener filtering to generate two restored images; one with highly reduced noise, and the other with preserved fine details and edges. The edgemap image is constructed directly from the noisy image by using a new edge detection method. The Wiener filtered images and the edgemap are utilized to generate the final restored image. Simulations with natural images contaminated by noise demonstrate that the proposed method works effectively over a different range of noise levels. A performance comparison with other Wiener filter-based denoising methods and the state-of-the-art denosing methods is also made.
Keywords: Edgemap, Image denoising, Power spectrum estimation, Wiener filter
EXTENSION of the file: .pdf
Special (Invited) Session: Edgemap-Based Wiener Filtering for Preserving Image Fine Details and Edges
Organizer of the Session: 659-496
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