MPEG: a video compression standard for multimedia applications
Communications of the ACM - Special issue on digital multimedia systems
3D RGB image compression for interactive applications
ACM Transactions on Graphics (TOG)
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Data compression with spherical wavelets and wavelets for the image-based relighting
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Beta wavelets: synthesis and application to lossy image compression
Advances in Engineering Software - Advanced algorithms and architectures for signal processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
JPEG2000 ROI coding method with perfect fine-grain accuracy and lossless recovery
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
JPEG2000 ROI coding through component priority for digital mammography
Computer Vision and Image Understanding
Medical ultrasound image compression using contextual vector quantization
Computers in Biology and Medicine
Evaluation of Region-of-Interest coders using perceptual image quality assessments
Journal of Visual Communication and Image Representation
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Image compression can improve the performance of the digital systems by reducing time and cost in image storage and transmission without significant reduction of the image quality. Furthermore, the JPEG2000 has emerged as the new state-of-the art standard for image compression. In this paper, a Selective Coefficient Mask Shift (SCMShift) coding method is proposed. The technique, implemented over regions of interest (ROIs), is based on shifting the wavelet coefficients that belong to different subbands, depending on the coefficients relative to the original image. This method allows: (1) codification of multiple ROIs at various degrees of interest, (2) arbitrary shaped ROI coding, and (3) flexible adjustment of the compression quality of the ROI and the background. No standard modification for JPEG200 decoder was required. The method was applied over different types of images. Results show a better performance for the selected regions, when ROI coding methods were employed for the whole set of images. We believe that this method is an excellent tool for future image compression research, mainly on images where ROI coding can be of interest, such as the medical imaging modalities and several multimedia applications.