Title :
A Practical Design Flow of Noise Reduction Algorithm for Video Post Processing
Author :
Yang, Shengqi ; Lu, Tiehan
Author_Institution :
Intel Corp., Chandler
Abstract :
This paper presents a practical design flow, including a detailed evaluation methodology, for noise reduction algorithm used specifically in video post processing. Based on this design flow, a novel motion adaptive noise reduction algorithm is created. While integrated into an existing video post processing pipeline, this noise reduction algorithm helps the video pipeline to pass the noise reduction test and detail preserving test in the industry widely used video post processing benchmark, HQV (Hollywood quality video processing for high definition).
Keywords :
high definition television; image denoising; video signal processing; Hollywood quality video processing; evaluation methodology; high definition video; motion adaptive noise reduction; video post processing; Algorithm design and analysis; Colored noise; Decoding; HDTV; High definition video; Noise reduction; Pipelines; Plasma displays; System-on-a-chip; Testing;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2007.4341578