首页> 外文会议>Signal Processing Algorithms, Architectures, Arrangements and Applications, 2007 >Median predictor-based lossless video compression algorithm for IR image sequences
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Median predictor-based lossless video compression algorithm for IR image sequences

机译:基于中值预测器的红外图像序列无损视频压缩算法

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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.
机译:长期以来,无损图像压缩已被认为是多种应用程序的重要需求,例如医学成像,关键IR图像序列的存储和遥感。在本文中,我们提出了一种简单,快速,易于实现的硬件无损视频压缩算法,非常适合红外图像。基于上下文的中值预测器用于参考像素的预测。三个相邻像素用作预测的上下文。通过使用一位码以有效的方式对冗余像素进行编码来执行帧间编码。最后,算术编码器用作熵编码。所提出的算法能够在图像压缩模式以及视频压缩模式下运行。将所提出的MPLVC(基于中值预测器的无损视频压缩)算法与JPEG-LS(无损联合图像专家组)和FELICS(快速高效的无损图像压缩系统)进行了比较。实验结果表明,该算法在编码率上具有优越性,具有简单,易于实现的优点。

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