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Motion-JPEG2000 codec compensated for interlaced scanning videos
Motion-JPEG2000 codec compensated for interlaced scanning videos
Ishida, T.
Muramatsu, S.
Kikuchi, H.
©(2005) IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained the IEEE.
Energy gain compensation
invertible deinterlacing
lifting implementation
motion-JPEG2000 (MJP2)
signal-to-noise ratio (SNR) scalability
This paper presents an implementation scheme of Motion-JPEG2000 (MJP2) integrated with invertible deinterlacing. In previous work, we developed an invertible deinterlacing technique that suppresses the comb-tooth artifacts which are caused by field interleaving for interlaced scanning videos, and affect the quality of scalable frame-based codecs, such as MJP2. Our technique has two features, where sampling density is preserved and image quality is recovered by an inverse process. When no codec is placed between the deinterlacer and inverse process, the original video is perfectly reconstructed. Otherwise, it is almost completely recovered. We suggest an application scenario of this invertible deinterlacer for enhancing the sophisticated signal-to-noise ratio scalability in the frame-based MJP2 coding. The proposed system suppresses the comb-tooth artifacts at low bitrates, while enabling the quality recovery through its inverse process at high bitrates within the standard bitstream format. The main purpose of this paper is to present a system that yields high quality recovery for an MJP2 codec. We demonstrate that our invertible deinterlacer can be embedded into the discrete wavelet transform employed in MJP2. As a result, the energy gain factor to control rate-distortion characteristics can be compensated for optimal compression. Simulation results show that the recovery of quality is improved by, for example, more than 2.0 dB in peak signal-to-noise ratio by applying our proposed gain compensation when decoding 8-bit grayscale Football sequence at 2.0 bpp.
IEEE
2005-12
eng
journal article
http://hdl.handle.net/10191/4977
https://niigata-u.repo.nii.ac.jp/records/1742
info:doi/10.1109/TIP.2005.857255
AA10821122
10577149
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
14
12
2179
2191
https://niigata-u.repo.nii.ac.jp/record/1742/files/ieeeTransIP14_01532317.pdf
application/pdf
3.9 MB
2019-07-29