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
Link To Document :
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