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Proceedings Paper

Comparative performance evaluation of transform coding in image pre-processing
Author(s): Vignesh V. Menon; Harikrishnan NB; Gayathri Narayanan; Niveditha CK
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Paper Abstract

We are in the midst of a communication transmute which drives the development as largely as dissemination of pioneering communication systems with ever-increasing fidelity and resolution. Distinguishable researches have been appreciative in image processing techniques crazed by a growing thirst for faster and easier encoding, storage and transmission of visual information. In this paper, the researchers intend to throw light on many techniques which could be worn at the transmitter-end in order to ease the transmission and reconstruction of the images. The researchers investigate the performance of different image transform coding schemes used in pre-processing, their comparison, and effectiveness, the necessary and sufficient conditions, properties and complexity in implementation. Whimsical by prior advancements in image processing techniques, the researchers compare various contemporary image pre-processing frameworks- Compressed Sensing, Singular Value Decomposition, Integer Wavelet Transform on performance. The paper exposes the potential of Integer Wavelet transform to be an efficient pre-processing scheme.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042048 (21 July 2017); doi: 10.1117/12.2281796
Show Author Affiliations
Vignesh V. Menon, Amrita Vishwa Vidyapeetham Univ. (India)
Harikrishnan NB, Amrita Vishwa Vidyapeetham Univ. (India)
Gayathri Narayanan, Amrita Vishwa Vidyapeetham Univ. (India)
Niveditha CK, Amrita Vishwa Vidyapeetham Univ. (India)

Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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