Image compression using improvised column based Thepade's Cosine Error Vector Rotation (TCEVR) Codebook generation in Vector Quantization

Sudeep D. Thepade, Lokesh S. Katore
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引用次数: 3

Abstract

Image compression is inevitable now a days as multimedia based data is increasing at faster rate. Vector Quantization plays vital role in Codebook generation. Codebook is the soul of Vector Quantization. There are several methods to generate Codebook but the recent one is Thepade's Cosine Error Vector Rotation (TCEVR), which is proven better than others (KEVR, KEVRW, LBG). Paper proposes novel Column based error Vector Rotation for TCEVR. The proposed column based improvisation in TCEVR is tested with a test bed of 18 images for image compression. Experimentation result show that the proposed TCEVR Codebook generation in VQ for Image compression is showing improvisation over earlier proposed Row based TCEVR. As observed from lower average Euclidean distance between the original and regenerated images for various Codebook sizes.
基于随机列的矢量量化中thepage余弦误差矢量旋转(TCEVR)码本生成的图像压缩
随着基于多媒体的数据以更快的速度增长,图像压缩是不可避免的。矢量量化在码本生成中起着至关重要的作用。码本是矢量量化的灵魂。有几种方法来生成码本,但最近的一个是thepage的余弦误差矢量旋转(TCEVR),这被证明比其他(KEVR, KEVRW, LBG)更好。提出了一种基于列的误差矢量旋转算法。在一个包含18幅图像的图像压缩试验台上,对提出的基于列的TCEVR即兴算法进行了测试。实验结果表明,基于VQ的图像压缩TCEVR码本生成比先前提出的基于行的TCEVR编码具有更强的即时性。从不同码本大小的原始图像和再生图像之间较低的平均欧几里得距离可以观察到。
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