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Volumn 1, Issue , 2007, Pages

Combined wavelet domain and motion compensated filtering compliant with video codecs

Author keywords

Coding; Compression; Denoising; Motion estimation; Video

Indexed keywords

IMAGE COMPRESSION; MOTION COMPENSATION; MOTION ESTIMATION; NOISE ABATEMENT; WAVELET ANALYSIS;

EID: 34547520072     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2007.366020     Document Type: Conference Paper
Times cited : (7)

References (9)
  • 3
    • 33144486284 scopus 로고    scopus 로고
    • Combined spatial and temporal domain wavelet shrinkage algorithm for video denoising
    • Feb
    • E. J. Balster, Y. F. Zheng, and R. L. Ewing, "Combined spatial and temporal domain wavelet shrinkage algorithm for video denoising," IEEE Trans. on Circuits and Systems for Video Technology, vol. 16, no. 2, pp. 220-230, Feb. 2006.
    • (2006) IEEE Trans. on Circuits and Systems for Video Technology , vol.16 , Issue.2 , pp. 220-230
    • Balster, E.J.1    Zheng, Y.F.2    Ewing, R.L.3
  • 6
    • 0032629255 scopus 로고    scopus 로고
    • Low-power parallel video compression architecture for a single-chip digital cmos earner
    • July
    • J. Hsieh and T. Meng, "Low-power parallel video compression architecture for a single-chip digital cmos earner," Journal of VLSI Signal Processing Systems, vol. 21, no. 11, pp. 195-207, July 1999.
    • (1999) Journal of VLSI Signal Processing Systems , vol.21 , Issue.11 , pp. 195-207
    • Hsieh, J.1    Meng, T.2
  • 9
    • 31344451735 scopus 로고    scopus 로고
    • Estimating probability of presence of a signal of interest in multiresolution single- and multiband image denoising
    • A. Pižurica and W. Philips, "Estimating probability of presence of a signal of interest in multiresolution single- and multiband image denoising," IEEE Trans. on Image Processing, vol. 15, no. 3, pp. 654-665, 2006.
    • (2006) IEEE Trans. on Image Processing , vol.15 , Issue.3 , pp. 654-665
    • Pižurica, A.1    Philips, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.