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COLOR IMAGE COMPRESSION USING MULTI-LEVEL BLOCK TRUNCATION CODE ALGORITHM AND VECTOR QUANTIZATION

机译:多级块截断代码算法和矢量量化的彩色图像压缩

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This paper aims to proposed multi-level block truncation code (BTC) based image compression of continuous tone still image to achieve low bit rate and high quality. The algorithm has been proposed by combining bit map and quantization. The algorithms are proposed based on the assumption that the computing power is not the limiting factor. The parameters considered for evaluating the performance of the proposed methods are compression ratio and subjective quality of the reconstructed images. The performance of proposed algorithm including color image compression, progressive image transmission is quite good. The effectiveness of the proposed schemes is established by comparing the performance with that of the existing methods..
机译:本文旨在提出基于多级块截断码(BTC)的连续色调静止图像图像压缩,以实现低比特率和高质量。通过结合位图和量化提出了该算法。基于计算能力不是限制因素的假设来提出算法。为评估所提出方法的性能而考虑的参数是压缩率和重建图像的主观质量。所提算法在彩色图像压缩,渐进图像传输等方面的性能都很好。通过将性能与现有方法的性能进行比较,可以确定所提出方案的有效性。

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