We propose a novel video coding scheme requiring a simple encoder and a complex decoder where video frame is intra-coded periodically and the intermediary frames between the successive intra-coded frames are coded efficiently by a proposed irregular binning. We investigate a method of forming an irregular binning which is capable of quantizing any value effectively with only small number of bins. Based on the fact that successive frames in a video are highly correlated, the video reconstructed at the decoder is enhanced gradually by applying POCS (projection on the convex sets). After an image frame is reconstructed with the irregular binning information at the proposed decoder, we can improve the resulting quality more by modifying the reconstructed image with motion-compensated data from the neighboring frames. In the proposed decoder, several iterations of these modification and re-projection can be performed. Experimental results show that the performance of the proposed coding scheme is slightly lower than that of H.264, and thus can be an alternative of H.264 in the applications requiring a simple encoder.
In our previous literature, we proposed a class of nonlinear filters whose output is given by a linear combination of weighted medians (LCWM) of the input sequence. We showed that, unlike the median type filters having the lowpass response, the LCWM filters consisting of weighted median subfilters can not only suppress both Gaussian noise and impulsive noise effectively, but also offer various frequency characteristics including lowpass, bandpass, and highpass responses. In an attempt to improve the performance of LCWM filters, we propose an adaptive LCWM (ALCWM) filter which consists of directional weighted median subfilters with different geometric structures. The weighting factor of each subfilter is adaptively determined using the similarity between the directional subwindow and the local geometric image features of interest. It is shown experimentally that the ALCWM filter performs better than the aforementioned filters including the median and the LCWM filters in preserving more details.
In this paper, we propose a frequency selective weighted median (FSWM) filter with arbitrary spectral behavior. The proposed scheme is motivated by the observation on the structure and design procedure of the linear-phase FIR high- pass (HP) filter. An FIR HP filter can be easily obtained by changing the sign of coefficients in odd position. Thus, the output of the HP filter can be represented as the difference between two subfilters which have all positive coefficients. This representation structure of the FIR HP filter is analogous to the difference of estimates (DoE) such as the difference of medians (DoM). The DoM is essentially a robust HP filter which is commonly used in edge detection. Based on this observation, we define a new nonlinear filtering structure consisting of linear combinations of weighted medians. We refer to this new filter class as the FSWM filter. It is shown experimentally that the FSWM filter can offer 'low-pass (LP),' 'HP,' 'band-pass (BP),' and 'band-stop (BS)' frequency characteristics.
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