Blind Post-Processing for Ringing and Mosquito Artifact Reduction in Coded Videos

Block-based video-coding standards produce unwanted spatial and temporal artifacts in reconstructed videos. Among them, ringing and mosquito artifacts arise due to the quantization of high-frequency discrete cosine transform coefficients. Most of the existing artifact-reduction algorithms assume that coding information such as a standard quantization table and the corresponding quantization parameter for each block are available. In many multimedia applications, however, external video inputs are usually supplied without coding information. To effectively reduce the ringing and mosquito artifacts in a decoded input video sequence, it is necessary to control the filter strength block by block. In this paper, we present a blind block-based method to estimate the quantization amount and propose a novel post-processing algorithm based on the visibility of artifacts in terms of the human visual system using the estimated quantization amount. Experimental results demonstrate that the proposed algorithm better alleviates ringing and mosquito artifacts in various coded videos compared with the existing algorithms.

[1]  Gerard de Haan,et al.  Trained Bilateral Filters and Applications to Coding Artifacts Reduction , 2007, 2007 IEEE International Conference on Image Processing.

[2]  Thomas Sikora,et al.  The MPEG-4 video standard verification model , 1997, IEEE Trans. Circuits Syst. Video Technol..

[3]  Alan C. Bovik,et al.  . Efficient DCT-domain blind measurement and reduction of blocking artifacts , 2002, IEEE Trans. Circuits Syst. Video Technol..

[4]  Roberto Manduchi,et al.  Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[5]  R. Stevenson,et al.  DCT quantization noise in compressed images , 2005 .

[6]  Huiying Li,et al.  No-reference analysis of decoded MPEG images for PSNR estimation and post-processing , 2011, J. Vis. Commun. Image Represent..

[7]  Aria Nosratinia Postprocessing of JPEG-2000 images to remove compression artifacts , 2003, IEEE Signal Processing Letters.

[8]  Ricardo L. de Queiroz,et al.  Identification of bitmap compression history: JPEG detection and quantizer estimation , 2003, IEEE Trans. Image Process..

[9]  Hantao Liu,et al.  A no-reference metric for perceived ringing , 2009 .

[10]  Irina Popovici,et al.  Locating Edges and Removing Ringing Artifacts in JPEG Images by Frequency-Domain Analysis , 2007, IEEE Transactions on Image Processing.

[11]  Truong Q. Nguyen,et al.  Image coding ringing artifact reduction using morphological post-filtering , 1998, 1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175).

[12]  Hong Ren Wu,et al.  Robust Filtering Technique for Reduction of Temporal Fluctuation in H.264 Video Sequences , 2010, IEEE Transactions on Circuits and Systems for Video Technology.

[13]  Anthony Vetro,et al.  Adaptive fuzzy post-filtering for highly compressed video , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[14]  Tao Chen,et al.  Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts , 2001, IEEE Trans. Circuits Syst. Video Technol..

[15]  C.-C. Jay Kuo,et al.  Artifact reduction in low bit rate wavelet coding with robust nonlinear filtering , 1998, 1998 IEEE Second Workshop on Multimedia Signal Processing (Cat. No.98EX175).

[16]  Do-Kyoung Kwon,et al.  Rate Control for H.264 Video With Enhanced Rate and Distortion Models , 2007, IEEE Transactions on Circuits and Systems for Video Technology.

[17]  Ee-Chien Chang,et al.  Detecting Digital Image Forgeries by Measuring Inconsistencies of Blocking Artifact , 2007, 2007 IEEE International Conference on Multimedia and Expo.

[18]  Jun Sun,et al.  Theoretic Analysis of Inter Frame Dependency in Video Coding , 2008, PCM.

[19]  Ingrid Heynderickx,et al.  A No-Reference Metric for Perceived Ringing Artifacts in Images , 2010, IEEE Transactions on Circuits and Systems for Video Technology.

[20]  Jianfei Cai,et al.  Image deringing using quadtree based block-shift filtering , 2008, 2008 IEEE International Symposium on Circuits and Systems.

[21]  Truong Q. Nguyen,et al.  Adaptive Fuzzy Filtering for Artifact Reduction in Compressed Images and Videos , 2009, IEEE Transactions on Image Processing.

[22]  Yung Lyul Lee,et al.  A postprocessing method for reducing quantization effects in low bit-rate moving picture coding , 1999, IEEE Trans. Circuits Syst. Video Technol..

[23]  Seop Hyeong Park,et al.  Theory of projection onto the narrow quantization constraint set and its application , 1999, IEEE Trans. Image Process..

[24]  Ajay Luthra,et al.  Overview of the H.264/AVC video coding standard , 2003, IEEE Trans. Circuits Syst. Video Technol..

[25]  Jong Beom Ra,et al.  Post processing for blocking artifact reduction , 2011, 2011 18th IEEE International Conference on Image Processing.

[26]  Weisi Lin,et al.  Efficient Deblocking With Coefficient Regularization, Shape-Adaptive Filtering, and Quantization Constraint , 2008, IEEE Transactions on Multimedia.

[27]  Truong Q. Nguyen,et al.  Maximum-likelihood parameter estimation for image ringing-artifact removal , 2001, IEEE Trans. Circuits Syst. Video Technol..

[28]  D. Hazarika,et al.  Blocking artifacts reduction using adaptive bilateral filtering , 2010, 2010 International Conference on Signal Processing and Communications (SPCOM).

[29]  Christos Grecos,et al.  MPEG-7 Descriptors Based Shot Detection and Adaptive Initial Quantization Parameter Estimation for the H.264/AVC , 2009, IEEE Transactions on Broadcasting.

[30]  Anthony Vetro,et al.  Edge map guided adaptive post-filter for blocking and ringing artifacts removal , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[31]  Frédo Durand,et al.  A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach , 2006, ECCV.

[32]  Gary J. Sullivan,et al.  Rate-constrained coder control and comparison of video coding standards , 2003, IEEE Trans. Circuits Syst. Video Technol..