KEYWORDS: Video, Video compression, Video coding, Resolution enhancement technologies, Video processing, Control systems, Semantic video, Quantization, Computer programming, Process control
In this paper we outline a post-processing system for compressed video sources, aimed at reducing the visibility of coding artifacts. To achieve optimal video quality for compressed sources, it addresses artifact reduction and video enhancement functions as well as their interdependency. The system is based on the Unified Metric for Digital Video Processing (UMDVP), a quality metric that estimates the level of coding artifacts on a per-pixel basis. Experiments on MPEG-2 encoded video sequences showed significant improvement in picture quality compared to systems that do not have UMDVP control or that do not consider the interdependency between artifact reduction and video enhancement.
KEYWORDS: Video, Video processing, Video compression, Resolution enhancement technologies, Control systems, Video coding, Semantic video, Computer programming, Quantization, Algorithm development
In this paper we propose a novel, post-processing system for compressed video sources. The proposed system explores the interaction between artifact reduction and sharpness/resolution enhancement to achieve optimal video quality for compressed (e.g. MPEG-2) sources. It is based on the Unified Metric for Digital Video Processing (UMDVP), which adaptively controls the post-processing algorithms according to the coding characteristics of the decoded video. The experiments carried out on several MPEG-2 encoded video sequences have shown significant improvement in picture quality compared to a system without the UMDVP control and to a system that did not exploit the interaction between artifact reduction and video enhancement. The UMDVP as well the proposed post-processing system can be easily adapted for different coding standard, such as MPEG-4, H.26x.
KEYWORDS: Video, Video processing, Resolution enhancement technologies, Digital filtering, Video coding, Algorithm development, Quantization, Linear filtering, Wavelets, Edge detection
In this paper we propose a new deringing algorithm for MPEG-2 encoded video. It is based on a Unified Metric for Digital Video Processing (UMDVP) and therefore directly linked to the coding characteristics of the decoded video. Experiments carried out on various video sequences have shown noticeable improvement in picture quality and the proposed algorithm outperforms the deringing algorithm described in the MPEG-4 video standard. Coding artifacts, particularly ringing artifacts, are especially annoying on large high-resolution displays. To prevent the enlargement and enhancement of the ringing artifacts, we have applied the proposed deringing algorithm prior to resolution enhancement. Experiments have shown that in this configuration, the new deringing algorithm has significant positive impact on picture quality.
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