Lossless Compression of Motion JPEG2000 Integrated with Invertible Deinterlacing

Parameter Embedding in Motion-JPEG2000 through ROI for Variable-Coefficient Invertible Deinterlacing

In this paper, a coefficient-parameter embedding method into Motion-JPEG2000 (MJP2) is proposed for invertible deinterlacing with variable coefficients. Invertible deinterlacing, which the authors have developed before, can be used as a preprocess of frame-based motion picture codec, such as MJP2, for interlaced videos. When the conventional field-interleaving is used instead, comb-tooth artifa...

Lossless Compression of Video Using Motion Compensation

Invertible deinterlacing with variable coefficients and its lifting implementation

Invertible deinterlacing with variable coefficients is proposed to suppress comb-tooth artifacts caused by field interleaving of interlaced scanning video. A vertical highpass filter is applied to detect moving artifacts around boundaries of moving objects. The coefficients of a deinterlacing filter is varied depending on the motion intensity so that the deinterlacing filter may be matched tu t...

Variational Motion Compensated Deinterlacing

In this paper we present a novel motion compensated deinterlacing scheme based on a joint variational framework of motion estimation and creation of new pixel values. We propose a specific energy formulation for that purpose, optimized by solving corresponding EulerLagrange equations. The difficult issue of calculating motion on interlaced image sequences is addressed and the presented algorith...

Enhancing Security in Medical Image Communication with JPEG2000 Compression and Lossless Watermarking

Medical image content authentication is very important, since medical image contents are more and more widely distributed. Reversible watermarking becomes a promising technique to embed the information into medical images. In this paper, we define the Region of Interest (ROI) in an image and trying to embed data in Region of Non Interest. When medical image shared through network, for the compr...