DocumentCode
3196686
Title
Orthogonal polynomials based low bit rate image coding
Author
Karthikeyan, T. ; Krishnamoorthy, R. ; Praburaj, B.
Author_Institution
Dept. of Comput. Sci., PSG Coll. of Arts & Sci., Coimbatore, India
fYear
2012
fDate
14-15 Dec. 2012
Firstpage
73
Lastpage
76
Abstract
In this paper, a new and efficient method for transform coding of 2-D monochrome images based on orthogonal polynomials has been proposed. The proposed orthogonal polynomials based transform coding system has the encoder, consisting of a polynomial transform operation followed by quantization of transform coefficients and the entropy coding of quantized coefficients. After the encoded bit stream of an input image is transmitted over the channel, the decoder reverses all the functionalities applied in the encoder and tries to reconstruct a decoded image that looks as close as possible to the original input image. The result of the proposed coding are compared with the DCT scheme. The new coding algorithm results in a considerable reduction in computation time and provides better reconstructed picture quality.
Keywords
computational complexity; decoding; image coding; image reconstruction; orthogonal codes; polynomials; quantisation (signal); transform coding; transforms; computation time reduction; decoder; encoder; input image encoded bit stream; orthogonal polynomial-based low-bit rate 2D monochrome image transform coding; polynomial transform operation; quantized transform coefficient entropy coding; reconstructed picture quality improvement; Discrete cosine transforms; Entropy; Image coding; Polynomials; Quantization; Transform coding; entropy coding; orthogonal polynomials; quantization; quantized coefficients;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision and Image Processing (MVIP), 2012 International Conference on
Conference_Location
Taipei
Print_ISBN
978-1-4673-2319-2
Type
conf
DOI
10.1109/MVIP.2012.6428764
Filename
6428764
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