School of Electronic Engineering, Xidian University, Xi'an, China.
IEEE Trans Image Process. 2012 Apr;21(4):1899-910. doi: 10.1109/TIP.2011.2171352. Epub 2011 Oct 13.
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.
我们开发了一种新颖的基于视觉和边缘的低比特率图像编解码器。它提供了对自然图像的尺度不变二阶统计的紧凑描述，这种描述对于编码图像的感知质量至关重要。尽管是基于边缘的，但该编解码器并不显式地对边缘几何形状进行编码。为了节省边缘描述的比特数，首先对图像的背景层进行编码和传输，解码器从该背景层中估计出显著边缘的轨迹。然后，通过基于边缘扩展和沿边缘方向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，与现有技术相比，新的图像编码技术在客观和主观质量方面都有了显著的提高，尤其是在低比特率下。
