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                                       Details for article 10 of 16 found articles
 
 
  Hybrid Image Compression by Blurring Background and Non-Edges
 
 
Title: Hybrid Image Compression by Blurring Background and Non-Edges
Author: Y.Jacob Vetha Raj
M.Mohamed Sathik
K.Senthamarai Kannan
Appeared in: The international journal of multimedia & its applications
Paging: Volume 2 (2010) nr. 1 pages 32-41
Year: 2010
Contents: Two hybrid image compression methods are proposed in this paper. In these methods the vital part of the image iscompletely restorable and non vital part of the image may restorable with insignificant loss. The two methods proposed are1.Hybrid Image Compression with Background Blurring (HICBB) 2. Hybrid Image Compression with Non-Edges Blurring(HICNB). In HICBB, the image is first segmented into two segments namely Background and Foreground. Then thebackground of the image is blurred using image smoothing algorithm. Finally the blurred background and unchangedforeground are combined and compressed using standard lossless compression method. In HICNB, the image is firstsubjected to edge detection to find the edges and non-edges. Then the non-edges are blurred using the smoothing algorithm.Finally the blurred non-edges and unchanged edges are combined and compressed using standard lossless compressionmethods.
Publisher: Academy & Industry Research Collaboration Center (AIRCC) (provided by DOAJ)
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 10 of 16 found articles
 
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