English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90452/105769 (86%)
Visitors : 11980725      Online Users : 931
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    ASIA unversity > 資訊學院 > 資訊傳播學系 > 博碩士論文 >  Item 310904400/107902

    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/107902

    Title: Improvement of Image Denoising Algorithm Using Confidence Measure for Salt-and-Pepper Noise Removal
    Authors: LIU, LI-LING
    Contributors: 資訊傳播學系
    Keywords: image denoising;salt-and-pepper noise;image confidence measure;pixel change direction;non-sequential process order
    Date: 2017
    Issue Date: 2017-09-19 11:07:14 (UTC+8)
    Publisher: 亞洲大學
    Abstract: Digital images are widely used nowadays. However the quality of a digital image would be deteriorated by the corruption of impulse noise in the acquisition or transmission, casusing the errorneous judgement for the human eye or machine. How to effectively remove this impulse noise for a corrupted image is an important research task. Most of the image denoising methods process each noise-corrupted pixel from the top-left to the bottom-right of the images using a sliding window. The regions first processed will affect the subsequent image area. If a heavily noise-corrupted region is firstly reconstructed, restored pixels will deteriorate subsequent processed pixels. This enables the denoised image quality to be reduced. In this thesis, we present a new approach to change the process order of noise corrupted pixels according to the confidence measured with each pixel of an image. An analysis window with a greater quantity of noise-free pixels and with a consistent pixel change direction is defined as a high confidence region and denoised firstly, enabling the quality of the denoised image to be reduced. Experimental results show that the proposed approach can further improve the performance of an image denoising method which utilizes the sliding window from the top-left to the bottom-right. Accordingly, the confidence measure is helpful for image denoising and can be further applied for image signal processing.
    Appears in Collections:[資訊傳播學系] 博碩士論文

    Files in This Item:

    File Description SizeFormat

    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback