基于边缘引导插值和多尺度变换的图像损失隐藏

Bahareh Langari, J. Stonham, A. Mousavi
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引用次数: 1

摘要

提出了一种基于边缘引导插值方法的图像间隙恢复全局边缘插值方法。通过在多尺度DCT/DWT金字塔变换中结合基于边缘的方向插值来实现间隙恢复。提出了两类图像边缘,并在图像间隙重建过程中加以利用。首先,测量局部边缘,或通过估计相邻像素在各个方向上的梯度推断出的纹理。其次,使用Canny边缘检测器估计图像对象或片段之间的全局边缘或边界。在常规和随机损失模式下,在损失率高达40%的情况下,对一系列图像进行评估,结果表明,与已发表的最佳作品相比,所提出的方法改善了图像质量,并将PSNR提高了1至5 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image loss concealment using edge-guided interpolation and multi-scale transformation
A novel global edge interpolation, based on new edge-guided interpolation methods for image gap restoration, is presented. The gap restoration is achieved by incorporating the edge-based directional interpolation within a multi-scale DCT/DWT pyramid transform. Two categories of image edges are proposed and utilised in the image gap reconstruction process. First, the local edges, or textures inferred from estimation of the gradients of the neighbouring pixels in various directions, are measured. Second, the global edges, or boundaries between image objects or segments, are estimated by using the Canny edge detector. Evaluations over a range of images, in regular and random loss pattern, at loss rates of up to 40%, reveal that the proposed method results in improved quality of the image and increase in PSNR by 1 to 5 dB compared to a range of best published works.
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