Efficient edge-directed deblocking algorithm for KOMPSAT-2 satellite images

References

• Wallace G. K.. The JPEG still picture compression standard. IEEE Trans. Consum. Electron., 1992, 38, 108–124.
   Web of Science ®Google Scholar
• Richardson L.E.G. H.264 and MPEG-4 Video Compression Video Coding for Next-Generation Multimedia, 2003 (John Wiley & Sons Ltd, Chichester).
   Google Scholar
• Brower B. V., Couwenhoven D., Gandhi B. and Smith C.. ADPCM for advanced LANDSAT downlink applications, Proc. 27th Asilomar Conf. on Signals, systems and computers, Pacific Grove, CA, USA, November 1993, Vol. 2, IEEE, pp. 1338–1341.
   Google Scholar
• Pennebaker W. B. and Mitchell J. L.. JPEG Still Image Data Compression Standard, 1993 (Chapman & Hall, New York).
   Google Scholar
• Information Technology-JPEG2000 Image Coding System, Final Committee Draft Version 1.0, IS/IEC/JTC 1/SC 29/WG 1 N1646R, 2002.
   Google Scholar
• Lee D. H., Seo D. C., Song J. H., Choi M. J. and Lim H. S.. Summary of calibration and validation for KOMPSAT-2. Int. Soc. Photogramm. Remote Sens., 2008, 7, 53.
   Google Scholar
• Lee Y. L., Kim H. C. and Park H. W.. Blocking effects reduction of JPEG images by signal adaptive filtering. IEEE Trans. Image Process., 1998, 7, 229–234.
   PubMed Web of Science ®Google Scholar
• Shen M.-Y. and Kuo C.-C. J.. Review of post processing techniques for compression artifact removal. J. Vis. Commun. Image Represent., 1998, 9, 2–14.
   Web of Science ®Google Scholar
• Sun D. and Cham W. K.. Post processing of low bit block DCT coded images based on a fields of experts prior. IEEE Trans. Image Process., 2007, 16, 2743–2751.
   PubMed Web of Science ®Google Scholar
• Foi A., Katkovnik V. and Egiazarian K.. Point shape-adaptive DCT for high-quality denoising and deblocking of grayscale and color images. IEEE Trans. Image Process., 2007, 16, 1395–1411.
   PubMed Web of Science ®Google Scholar
• Grosse H. J., Varley M. R., Terrell T. J. and Chan Y. K.. Improved coding of transform coefficients in JPEG-like image compression schemes. Pattern Recogn. Lett., 2000, 21, 1061–1069.
   Web of Science ®Google Scholar
• Lee S. K.. Edge statistics-based image scale ratio and noise strength estimation in DCT-coded images. IEEE Trans. Consum. Electron., 2009, 55, 2139–2144.
   Web of Science ®Google Scholar
• Wang Z., Bovik A. C., Sheikh H. R. and Simoncelli E. P.. Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process., 2004, 13, 600–612.
   PubMed Web of Science ®Google Scholar
• Lee S. K.. Simple deblocking algorithm in the compressed domain for real-time application. Opt. Eng., 2008, 47, 067001.
   Web of Science ®Google Scholar
• Gonzales R. C., Woods R. E. and Eddins S. L.. Digital Image Processing Using MATLAB, 2004 (Prentice-Hall, Upper Saddle River, NJ).
   Google Scholar
• Harris C. and Stephens M.. A combined corner and edge detector, Proc. 4th Alvey Vision Conf., Manchester, UK, August–September 1988, University of Manchester, pp. 147–151.
   Google Scholar
• Gonzalez R. C. and Woods R. E.. Digital Image Processing, 2007 (Prentice Hall, Upper Saddle River, NJ).
   Google Scholar
• MPEG test model 5 draft revision 2, Motion Picture Experts Group, ISO-IEC JTC1/SC29/WG11/602, Nov. 1993.
   Google Scholar
• Moury G. A. and Latry C.. In-orbit commissioning of SPOT5 image compression function. Proc. SPIE, 2003, 5151, 540–551.
   Google Scholar
• Yu G., Vladimirovaa T. and Sweeting M. N.. Image compression systems on board satellites. Acta Astronaut., 2009, 64, 988–1005.
   Web of Science ®Google Scholar
• Paek H., Kim R. C. and Lee S. U.. On the POCS-based postprocessing techniques to reduce the blocking artifacts in transform coded images. IEEE Trans. Circuits Syst. Video Technol., 1998, 8, 358–367.
   Web of Science ®Google Scholar
• Ramamurthi B. and Gersho A.. Nonlinear space-variant postprocessing of block coded images. IEEE Trans. Acoust. Speech Signal Process., 1986, ASSP-34, 1258–1268.
   Google Scholar
• Alan W. C. and Liew H. Y.. Blocking artifacts suppression in block-coded images using overcomplete wavelet representation. IEEE Trans. Circuits Syst. Video Technol., 2004, 14, 450–461.
   Web of Science ®Google Scholar
• Gersho A. and Gray R. M.. Vector Quantization and Signal Compression, 1991 (Kluwer, Norwell, MA).
   Google Scholar