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Edge-Based Perceptual Image Coding

机译:基于边缘的感知图像编码

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We develop a novel psychovisually motivated edge-based low-bit-rate image codec. It offers a compact description of scale-invariant second-order statistics of natural images, the preservation of which is crucial to the perceptual quality of coded images. Although being edge based, the codec does not explicitly code the edge geometry. To save bits on edge descriptions, a background layer of the image is first coded and transmitted, from which the decoder estimates the trajectories of significant edges. The edge regions are then refined by a residual coding technique based on edge dilation and sequential scanning in the edge direction. Experimental results show that the new image coding technique outperforms the existing ones in both objective and perceptual quality, particularly at low bit rates.
机译:我们开发了一种新颖的基于心理视觉的基于边缘的低比特率图像编解码器。它提供了自然图像的尺度不变二阶统计量的简洁描述,其保留对于编码图像的感知质量至关重要。虽然是基于边缘的,但​​编解码器并未明确编码边缘几何形状。为了节省边缘描述的位,首先对图像的背景层进行编码和传输,解码器据此估计重要边缘的轨迹。然后通过基于边缘扩张和沿边缘方向的顺序扫描的残差编码技术对边缘区域进行细化。实验结果表明,新的图像编码技术在客观和感知质量上均优于现有的图像编码技术,尤其是在低比特率下。

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