Efficient robust filtering technique for blocking artifacts reduction

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• 作者：Sema Koç Kayhan
• 关键词：Deblocking filter ; Blocking artifact ; Robust M ; estimation function
• 刊名：The Visual Computer
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：32
• 期：4
• 页码：417-427
• 全文大小：2,182 KB
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• 作者单位：Sema Koç Kayhan (1)
  
  1. Electrical Electronics Engineering Department, University of Gaziantep, Gaziantep, 27000, Turkey
  
• 刊物类别：Computer Science
• 刊物主题：Computer Graphics
  Computer Science, general
  Artificial Intelligence and Robotics
  Image Processing and Computer Vision
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1432-2315

文摘

This paper presents a new post-processing algorithm based on a robust statistical model to remove the blocking artifacts observed in block discrete cosine transform (BDCT)-based image compression standards. The novelty is the implementation of a new robust weight function for the block artifact reduction. The blocking artifacts in an image are treated as an outlier random variable. The robust formulation aims at eliminating the artifacts outliers, while preserving the edge structures in the restored image. Extensive simulation results and comparative studies demonstrate that the presented method provides superior results in terms of pixel-wise (PSNR) and perceptual (SSIM) measures.