无损图像编码中整数提升方案的优化与实现

V. Kitanovski, D. Taskovski, D. Gleich, P. Planinsic
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引用次数: 3

摘要

提出了一种采用整数到整数小波变换进行图像无损压缩的自适应提升方案。我们在提升方案中对预测滤波器的系数进行优化,使预测器的误差方差最小。优化系数取决于图像的自相关结构。所提出的提升方案不仅适用于彩色图像的各个分量,而且适用于其水平方向和垂直方向。我们在定点TMS320C6416 DSK评估板上实现了该提升方案。我们使用不同类型的图像获得实验结果,以及在实时应用中使用相机捕获的图像。结果表明,该方法在无损图像压缩方面具有较强的竞争力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization and Implementation of Integer Lifting Scheme for Lossless Image Coding
This paper presents an adaptive lifting scheme, which performs integer-to-integer wavelet transform, for lossless image compression. We optimize the coefficients of the predict filter in the lifting scheme to minimize the predictor's error variance. The optimized coefficients depend on the autocorrelation structure of the image. The presented lifting scheme adapts not only to every component of the color image, but also to its horizontal and vertical directions. We implement this lifting scheme on the fixed-point TMS320C6416 DSK evaluation board. We obtain experimental results using different types of images, as well as using images captured by camera in a real-time application. These results show that the presented method is competitive to few well-known methods for lossless image compression.
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