期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：68
期号：1
出版社：Journal of Theoretical and Applied
摘要：In this paper, a new and effective mode for transform coding of images depends on orthogonal polynomials has been recommended. The proposed orthogonal polynomials be contingent on transform coding system has the encoder, comprising of a polynomial transform operation tracked by quantization of transform coefficients and the entropy coding of quantized measurements. Embedded Zerotree of Wavelet transforms is a lossy image compression algorithm. At low bit rates most of the coefficients bent by a subband transform will be zero, or very close to zero. It provides extensive improvement in picture quality at privileged compression ratio. After the encoded bit stream of an input image is transferred over the channel, the decoder rears all the functionalities applied in the encoder and tries to reconstruct a decoded image that looks as close as possible to the inventive input image. The result of the proposed coding are compared with Embedded Zero Tree Wavelet and Discrete Wavelet Transform coding. The new image coding algorithm results in a considerable reduction in computation time and provides better reconstructed picture quality. The experimental results of the proposed technique also show that the efficient bit rate decline is achieved, when equated with existing techniques.
