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Spatial domain lossless image data compression method

机译:空间域无损图像数据压缩方法

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摘要

Images has very significant role in digital media. However, generally digital imaging generates large amounts of data it need to be compressed, without loss of relevant information or simply lossless compression. This paper presents a novel lossless image compression technique in spatial domain. The proposed algorithm divide the image into no. of blocks uses variable bits to store each block pixels. Calculation of variable bits is dependent on pixel values of each block. The advantage of proposed scheme, it is dependent upon pixels correlation with in a block. Experimental results show that our proposed algorithm gives better compression efficiency as compared to many existing state-of-the-art lossless spatial domain image compression algorithms such as LZW, RLE and DEFLATE used in TIFF, GIF and PNG formats.
机译:图像在数字媒体中具有非常重要的作用。但是,通常,数字成像会生成大量需要压缩的数据,而不会丢失相关信息或仅进行无损压缩。本文提出了一种新的空间域无损图像压缩技术。所提出的算法将图像划分为否。块使用可变位来存储每个块像素。可变位的计算取决于每个块的像素值。所提出的方案的优点在于,它取决于与块中像素的相关性。实验结果表明,与TIFF,GIF和PNG格式中使用的许多现有的最新无损空间域图像压缩算法(例如LZW,RLE和DEFLATE)相比,我们提出的算法具有更好的压缩效率。

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