Image data compression using new halftoning operators and run length encoding
A new approach for removing blocking artifacts in reconstructed block-encoded images is presented in .The perceptual quality of video affected by packet losses, low resolution and low bit video coded by the H.264/AVC encoder is studied in . Digital halftoning is a nonlinear system that quantizes a gray level image to one bit per pixel. Halftoning by error diffusion scans the image, quantizes the current pixel, and subtracts the quantization error from neighboring pixels in fixed proportions according to the error filter. The error filter is designed to minimize a local weighted error introduced by quantization.
KeywordsError Concealment Current Pixel Compression Factor Halftone Image Linear Gain
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- 1.A Novel Approach for Reduction of Blocking Effects in Low-Bit-Rate Image Compression Zhou Wang and Dapeng Zhang, Senior Member, IEEE, IEEE Transaction on communications, vol. 46, No. 6, June 1998Google Scholar
- 2.“A Novel Video Quality Metric for Low Bit-Rate Video Considering Both Coding and Packet- Loss Artifacts”, Tao Liu, Yao Wang, Fellow, IEEE, Jil M. Boyce, Senior Member,IEEE, Hua ang, Member, IEEE, and Zhenyu Wu, Member, IEEE IEEE Journal of selected topic in Signal Processing, vol.3 No.2 April 2009Google Scholar
- 3.Modeling and Quality Assessment of Halftoning by Error Diffusion Thomas D. Kite, Brian L Evans, Senior Member, IEEE, and Alan C Bovik, Fellow, IEEEsGoogle Scholar
- 4.Efficient Secured Lossless Coding of Medical Images– Using Modified Runlength Coding for Character Representation, S Annadurai, and P. Geetha, World Academy of Science, Engineering and Technology 12 2005Google Scholar
- 5.“A Fast Wavelet-based video codec and its application in an IP version 6- ready serverless videoconferencing system”. H. L. Cycon, M. Palkow, T. C. Schmidt and M. WahlischGoogle Scholar
- 6.Error Control and Concealment for Video Communication — A Review, Yao Wang and Qin-Fan ZhuGoogle Scholar
- 7.A Novel Approach for Reduction of Blocking Effects in Low-Bit-Rate Image Compression Zhou Wang and Dapeng Zhang, Senior Member, IEEE, IEEE Transaction on Communications, Vol. 46, No. 6, June, 1998Google Scholar
- 8.Embedded Foveation Image Coding Zhou W ang, Student Member, IEEE, and Alan Conrad Bovik, Fellow, IEEE, IEEE Transactions on Image Processing, Vol. 10, No. 10, October 2001Google Scholar
- 9.Foveation Scalable Member, IEEE, Ligang Lu, Member, IEEE, and Alan C. Bovik, Fellow, IEEE, IEEE Transactions on Image Processing, Vol.12, No. 2, Feb. 2003Google Scholar
- 10.“Generalized Bitplane-by-Bitplane shift metpod for JPEG2000 ROI coding” Zhou Wang, Serene Banerjee, Brian L. Evans and Alan C. Bovik Laboratory for Image and Video Engineering (LIVE), Dept. of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712-1084, USA Email: email@example.com, fserene, bevans, firstname.lastname@example.orgGoogle Scholar
- 11.R. Floyd and L. Steinberg, “An adaptive algorithm for spatial grayscale, ” Proc. Soc. Image Display, vol. 17, no. 2, pp. 75–77, 1976Google Scholar
- 13.Thomas D.kite, Brian L.Evans and Alan C. Bovik, IEEE.”Modeling and Quality Assessment of Half toning by Error Diffusion”, IEEE Transaction on Image Processing, vol.9. No.5, May 2000Google Scholar