A new integer image coding technique based on orthogonal polynomials

被引：16

作者：

Krishnamoorthi, R. ^{[1
]}

Kannan, N. ^{[1
]}

机构：

[1] Anna Univ, Comp Vis Lab, Dept Informat Technol, Bharathidasan Inst Technol, Tiruchirappalli 620024, Tamil Nadu, India

来源：

IMAGE AND VISION COMPUTING | 2009年 / 27卷 / 08期

关键词：

Image compression; Transform coding; Orthogonal polynomials; Signal-to-noise ratio; LOCAL SINE TRANSFORM; VECTOR QUANTIZATION; COMPRESSION; EFFICIENT; DESIGN; GENERATION;

D O I：

10.1016/j.imavis.2008.08.006

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new image coding scheme based on orthogonal polynomials has been presented. From a set of orthogonal polynomial functions, we first obtain the polynomial operators and polynomial basis operators of different width to propose the polynomial transform coding. After applying the proposed transformation, the transform coefficients are threshold coded using quantization and bit allocation as in JPEG baseline system. The performance of the proposed transform coding is reported by computing peak signal-to-noise ratio (PSNR). The proposed coding scheme is also compared with other transform coding schemes such as Discrete Cosine Transform and Discrete Wavelet Transforms. (C) 2008 Elsevier B.V. All rights reserved.

引用

页码：999 / 1006

页数：8

共 51 条

[1] DISCRETE COSINE TRANSFORM [J].