Orthogonal polynomials based low bit rate image coding

• Published in: 2012 International Conference on Machine Vision and Image Processing pp. 73 - 76
• Main Authors: Karthikeyan, T., Krishnamoorthy, R., Praburaj, B.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2012
• Subjects: Discrete cosine transforms; Entropy; entropy coding; Image coding; orthogonal polynomials; Polynomials; Quantization; quantized coefficients; Transform coding
• ISBN: 9781467323192; 1467323195
• DOI: 10.1109/MVIP.2012.6428764

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.