tailieunhanh - Báo cáo hóa học: " Research Article Video Frames Reconstruction Based on Time-Frequency Analysis and Hermite Projection Method"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Video Frames Reconstruction Based on Time-Frequency Analysis and Hermite Projection Method | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 970105 11 pages doi 2010 970105 Research Article Video Frames Reconstruction Based on Time-Frequency Analysis and Hermite Projection Method Srdjan Stankovic 1 Irena Orovic 1 and Andrey Krylov2 1 Faculty of Electrical Engineering University of Montenegro 20000 Podgorica Montenegro 2 Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Moscow119991 Russia Correspondence should be addressed to Irena Orovic irenao@ Received 15 February 2010 Revised 3 July 2010 Accepted 14 August 2010 Academic Editor Sridhar Krishnan Copyright 2010 Srdjan Stankovic et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. A method for temporal analysis and reconstruction of video sequences based on the time-frequency analysis and Hermite projection method is proposed. The S-method-based time-frequency distribution is used to characterize stationarity within the sequence. Namely a sequence of DCT coefficients along the time axes is used to create a frequency-modulated signal. The reconstruction of nonstationary sequences is done using the Hermite expansion coefficients. Here a small number of Hermite coefficients can be used which may provide significant savings for some video-based applications. The results are illustrated with video examples. 1. Introduction Video signal exchange and storage are very important in multimedia applications. For this purpose different kinds of video processing techniques are needed such as video compression algorithms video denoising methods and scene analysis 1-4 . Depending on the video quality and bit-rate constraints various compression algorithms have been developed 5-10 . These algorithms commonly employ motion-compensated differential coding .