Improved SMVQ Scheme with Edge-Directed Prediction

Chinchen Chang, Yi-Hui Chen, Kuan-Ming Li
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引用次数: 1

Abstract

The side-match vector quantization (SMVQ) technique has been widely used in various image compression and hiding techniques. It effectively decreases the bit rates of image with a great compressed quality. However, the prediction is not precise while the variation between the encoded block and its neighboring upper and left blocks is large. Due to the imprecision will cause derailment problem, to solve this problem, this paper proposed an EDPSMVQ scheme which is based on edge-directed prediction (EDP) to precisely predict the side-match pixels avoiding the derailment problem. The experimental results showed that the scheme achieves a high compression ratio with an acceptable image quality.
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基于边缘定向预测的改进SMVQ方案
侧匹配矢量量化(SMVQ)技术已广泛应用于各种图像压缩和隐藏技术中。它有效地降低了图像的比特率,并具有良好的压缩质量。然而,当编码块与其相邻的上、左块之间的差异较大时,预测并不精确。针对不精确会导致脱轨的问题,本文提出了一种基于边缘定向预测(EDP)的EDPSMVQ方案来精确预测侧面匹配像素,避免脱轨问题。实验结果表明,该方案具有较高的压缩比和较好的图像质量。
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