Image Coding on Quincunx Lattice with Adaptive Lifting and Interpolation

Xiangjun Zhang, Xiaolin Wu, Feng Wu
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引用次数: 38

Abstract

Considering that quincunx lattice is a more efficient spatial sampling scheme than square lattice, we investigate a new approach of image coding for quincunx sample arrangement. The key findings are: 1) adaptive directional lifting is particularly suited to decorrelate samples on quincunx lattice, and 2) quincunx samples can be processed by a 2D piecewise autoregressive model to reproduce the image of conventional square pixel grid, while preserving high frequency spatial features well. By incorporating these two techniques into the encoder and decoder respectively, we are able to improve the performance of JPEG 2000 image codec at low to modest bit rates. Since an image can be easily split into quincunx segments, this work has significance for multiple description image/video coding as well
基于Quincunx格的自适应提升插值图像编码
考虑到昆克斯格是一种比方格更有效的空间采样方案,我们研究了一种新的昆克斯样本排列的图像编码方法。主要发现是:1)自适应定向提升特别适合于quincunx网格上的去相关样本;2)quincunx样本可以通过二维分段自回归模型再现传统的方形像素网格图像,同时很好地保留了高频空间特征。通过将这两种技术分别结合到编码器和解码器中,我们能够提高JPEG 2000图像编解码器在低到中等比特率下的性能。由于一幅图像可以很容易地分成五段,因此这项工作对于多描述图像/视频编码也具有重要意义
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