A fast and reliable algorithm for video noise estimation based on spatio-temporal Sobel gradients

研究成果: Conference contribution

4 引文 斯高帕斯(Scopus)

摘要

A fast and reliable spatio-temporal algorithm for estimating additive white Gaussian noise (AWGN) in video sequences is proposed. The input video is divided into right cuboids. Estimations are made on three independent domains (spatial, temporal-horizontal, and temporal-vertical). Inside each domain, homogeneous blocks are first identified based on Sobel gradients with an adaptive and self-determined threshold. The selected blocks are then filtered by a Laplacian operator. The average of the filtering convolutions provides the estimated noise variance for each domain. The arithmetic average of these three estimated variances is computed to be the final estimated noise variance. Experimental results show that the proposed algorithm achieves better performance and maintains low complexity for a variety of video sequences over a large range of noise variances.

原文English
主出版物標題InECCE 2011 - International Conference on Electrical, Control and Computer Engineering
頁面191-195
頁數5
DOIs
出版狀態Published - 2011 八月 18
事件1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011 - Kuantan, Malaysia
持續時間: 2011 六月 212011 六月 22

出版系列

名字InECCE 2011 - International Conference on Electrical, Control and Computer Engineering

Other

Other1st International Conference on Electrical, Control and Computer Engineering 2011, InECCE 2011
國家Malaysia
城市Kuantan
期間11-06-2111-06-22

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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