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AN ONLINE IMAGE COMPRESSION ALGORITHM USING SINGULAR VALUE DECOMPOSITION AND ADAPTIVE VECTOR QUANTIZATION

机译:基于奇异值分解和自适应矢量量化的在线图像压缩算法

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摘要

In this paper we propose novel strategies for reducing the practical limitations of the Singular Value Decomposition (SVD) for image compression. First, the computational cost is reduced by computing only a limited number of eigenvectors. Second, an online Adaptive Vector Quantization (AVQ) method is used to achieve a low bit rate. Simulation results show that the proposed algorithm is better than the discrete cosine transform (DCT) and previous hybrid VQ-SVD in terms of distortion, bit rate, and image quality.
机译:在本文中,我们提出了新颖的策略来减少图像压缩的奇异值分解(SVD)的实际限制。首先,通过仅计算有限数量的特征向量来降低计算成本。其次,在线自适应矢量量化(AVQ)方法用于实现低比特率。仿真结果表明,该算法在失真,比特率和图像质量方面优于离散余弦变换(DCT)和先前的混合VQ-SVD。

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