Abstract

With recent growth of multimedia applications for delivering compressed bitstream over networks, scalability has become an important feature in video coding. The interframe wavelet coding (IWC) inherently provides temporal resolution, spatial resolution, and SNR scalability through wavelet transform and embedded quantization. In this paper, we propose a new motion compensated temporal filtering (MCTF) method. This method adaptively changes the directions for motion compensation in a group-of-pictures (GOP). Three modes are selected for the directions of motion estimation based on a criterion using motion information at boundary area in image sequence. This proposed method is composed of two parts. The first part is the extraction of motion information at boundary area. The second part is to process temporal filtering according to the selected direction for motion estimation. Simulation results show that the proposed method outperforms the conventional IWC method by 0.4 1.0 dB.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.