论文标题

自适应脱键过滤器

Adaptive Debanding Filter

论文作者

Tu, Zhengzhong, Lin, Jessie, Wang, Yilin, Adsumilli, Balu, Bovik, Alan C.

论文摘要

带子的绑带伪像在图片或视频帧上表现为楼梯般的颜色带,是由低纹理的平滑区域的压缩引起的常见失真。即使在高质量的视频上,这些假轮廓也可能非常明显,尤其是在高清屏幕上显示时。但是,对这个问题的关注很少。在这里,我们将束带删除作为视觉增强问题,因此,我们通过应用一种形式的与内容自适应平滑过滤的形式进行解决,然后进行抖动量化,作为后处理模块。所提出的脱机滤波器能够适应光滑的带状区域,同时保留图像边缘和细节,从而在有限的位深度下产生感知上增强的梯度渲染。实验结果表明,我们所提出的脱机过滤器优于视觉和定量上删除算法的最先进的假轮廓。

Banding artifacts, which manifest as staircase-like color bands on pictures or video frames, is a common distortion caused by compression of low-textured smooth regions. These false contours can be very noticeable even on high-quality videos, especially when displayed on high-definition screens. Yet, relatively little attention has been applied to this problem. Here we consider banding artifact removal as a visual enhancement problem, and accordingly, we solve it by applying a form of content-adaptive smoothing filtering followed by dithered quantization, as a post-processing module. The proposed debanding filter is able to adaptively smooth banded regions while preserving image edges and details, yielding perceptually enhanced gradient rendering with limited bit-depths. Experimental results show that our proposed debanding filter outperforms state-of-the-art false contour removing algorithms both visually and quantitatively.

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