This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
Research Paper on Image Restoration using Decision Based Filtering Techniques
Authors
  Ankita,  Lavina
Abstract
Images corrupted by impulse noise are frequently originated in routine practice. This problem accumulate in digital images because of channel decoded damages, signals dyeing down during transmission, when transmit in a communication channel, noises from video sensor and other partitions. Before the invention of computers and software such as Photoshop, most of the photo restoration was done by restoration experts. These were applied directly to the damaged photo and consisted mainly of air brushing technique over the damage. A new decision based filtering technique which is combination of K-means and PCA is proposed for reducing the unwanted noises and thus provides better quality image. Proposed filter provide better result in comparison to other filtering techniques.
Keywords- Digital Image Processing, peal signal to noise ratio.
Publication Details
Unique Identification Number - IJEDR1603079Page Number(s) - 477-481Pubished in - Volume 4 | Issue 3 | August 2016DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Ankita,  Lavina,   "Research Paper on Image Restoration using Decision Based Filtering Techniques", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.477-481, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603079.pdf
Article Preview
|
|
||||||
|