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|Title:||Improved wiener estimator in image denoising||Authors:||Taleb, Catherine||Advisors:||Dagher, Issam||Subjects:||Image processing--Digital techniques||Issue Date:||2012||Abstract:||
Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. This thesis improves the wiener filter denoising method. Six different improvements are presented. It will be shown that the best improvement is achieved by using the fourth order nonlinear wiener filter with quad-tree decomposition and median absolute deviation. It will be shown that this new algorithm is comparable to other algorithms like BM3D, LPG-PCA, and KSVD.
Includes bibliographical references (p.70-71).
Supervised by Dr. Issam Dagher.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/4041||Rights:||This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder||Ezproxy URL:||Link to full text||Type:||Thesis|
|Appears in Collections:||UOB Theses and Projects|
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