Median predictor-based lossless video compression algorithm for IR image sequences

Signal Processing Algorithms, Architectures, Arrangements, and Applications SPA 2007 Pub Date : 2007-09-01 DOI:10.14429/DSJ.59.1507

R. Saran, H. B. Srivastava, A. Kumar

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引用次数: 6

Abstract

Lossless image compression has long been recognized as an important need for several applications such as medical imaging, storage of critical IR image sequences and remote sensing. In this paper, we propose a simple, fast and easy to realizable-on-hardware lossless video compression algorithm that is well suited for IR imageries. Context based median predictor is used for prediction of reference pixels. Three neighboring pixels are used as context for prediction. Interframe coding is performed by encoding the redundant pixels in an efficient way, using one bit code. Finally the arithmetic coder is used as entropy coding. The proposed algorithm is able to operate in image compression mode as well as video compression mode. The proposed MPLVC (Median Predictor based Lossless Video Compression) algorithm is compared with JPEG-LS (Joint Pictures Experts Group-Lossless) and FELICS (Fast and Efficient Lossless Image Compression System) for compression performance. The results demonstrate that proposed algorithm is superior in encoding rate with added advantage in simplicity and ease in realization on hardware.

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基于中值预测的红外图像序列无损视频压缩算法

长期以来，无损图像压缩一直被认为是医学成像、关键红外图像序列存储和遥感等多个应用的重要需求。在本文中，我们提出了一种简单、快速和易于实现的硬件无损视频压缩算法，该算法非常适合红外图像。基于上下文的中值预测器用于预测参考像素。三个相邻像素被用作预测的上下文。帧间编码是通过对冗余像素进行有效的编码来实现的，使用一比特码。最后用算法编码器作为熵编码。该算法既可以在图像压缩模式下工作，也可以在视频压缩模式下工作。将MPLVC算法与JPEG-LS (Joint Pictures Experts group - loss - less)和FELICS (Fast and Efficient无损图像压缩系统)的压缩性能进行了比较。结果表明，该算法在编码速率上具有优势，并且具有简单、易于硬件实现的优点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Signal Processing Algorithms, Architectures, Arrangements, and Applications SPA 2007

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