A Multiresolution Image Completion Algorithm for Compressing Digital Color Images
Joint Authors
Vincent Antony Kumar, A.
Gomathi, R.
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-25
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
This paper introduces a new framework for image coding that uses image inpainting method.
In the proposed algorithm, the input image is subjected to image analysis to remove some of the portions purposefully.
At the same time, edges are extracted from the input image and they are passed to the decoder in the compressed manner.
The edges which are transmitted to decoder act as assistant information and they help inpainting process fill the missing regions at the decoder.
Textural synthesis and a new shearlet inpainting scheme based on the theory of p-Laplacian operator are proposed for image restoration at the decoder.
Shearlets have been mathematically proven to represent distributed discontinuities such as edges better than traditional wavelets and are a suitable tool for edge characterization.
This novel shearlet p-Laplacian inpainting model can effectively reduce the staircase effect in Total Variation (TV) inpainting model whereas it can still keep edges as well as TV model.
In the proposed scheme, neural network is employed to enhance the value of compression ratio for image coding.
Test results are compared with JPEG 2000 and H.264 Intracoding algorithms.
The results show that the proposed algorithm works well.
American Psychological Association (APA)
Gomathi, R.& Vincent Antony Kumar, A.. 2014. A Multiresolution Image Completion Algorithm for Compressing Digital Color Images. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-496334
Modern Language Association (MLA)
Gomathi, R.& Vincent Antony Kumar, A.. A Multiresolution Image Completion Algorithm for Compressing Digital Color Images. Journal of Applied Mathematics No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-496334
American Medical Association (AMA)
Gomathi, R.& Vincent Antony Kumar, A.. A Multiresolution Image Completion Algorithm for Compressing Digital Color Images. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-496334
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496334