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VLSI Implementations of Compressive Image Acquisition using Block Based Compression Algorithm

机译:基于块压缩算法的压缩图像采集的VLSI实现

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摘要

In this research paper, consists of compressing the images within each pixel before the storage processes, hence the size of the memory gets reduced. This can be done by the proposed method namely block based compression algorithm which uses the differential coding scheme. Here, differential values are captured and then quantized. The differential coding scheme uses the concept of selecting the brightest pixel as the reference pixel. The difference between brightest pixel and subsequent pixel is calculated and quantized. Hence, their range is compressed and the spatial redundancy can be removed using block based compression algorithm. Thus, the proposed scheme reduces the accumulation of error and also, reduces the requirement of memory Thus the Peak Signal to Noise Ratio (PSNR) value can be improved and Bits Per Pixel (BPP) value can be reduced. The future scope of the project is that the quality of the image can be further improved with high peak signal to noise ratio value using some other compression techniques.
机译:在这篇研究论文中,包括在存储过程之前压缩每个像素内的图像,因此减小了存储器的大小。这可以通过提出的方法来完成,即使用差分编码方案的基于块的压缩算法。在这里,差分值被捕获然后被量化。差分编码方案使用选择最亮像素作为参考像素的概念。计算并量化最亮像素与后续像素之间的差异。因此,它们的范围被压缩,并且可以使用基于块的压缩算法来去除空间冗余。因此,所提出的方案减少了错误的累积,并且还减少了存储器的需求。因此,可以改善峰值信噪比(PSNR)值,并且可以减少每像素位数(BPP)值。该项目的未来范围是可以使用其他一些压缩技术以较高的峰值信噪比值进一步改善图像质量。

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