JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Efficient Rate Control for JPEG2000 Coder and Decoder
DCC '06 Proceedings of the Data Compression Conference
Self-conducted allocation strategy of quality layers for JPEG2000
EURASIP Journal on Advances in Signal Processing
Distortion estimators for bitplane image coding
IEEE Transactions on Image Processing
Fast and efficient rate control approach for JPEG2000
IEEE Transactions on Consumer Electronics
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Resource-constrained rate control for Motion JPEG2000
IEEE Transactions on Image Processing
On multirate optimality of JPEG2000 code stream
IEEE Transactions on Image Processing
JPEG2000 encoding with perceptual distortion control
IEEE Transactions on Image Processing
Rate distortion optimal bit allocation methods for volumetric data using JPEG 2000
IEEE Transactions on Image Processing
Precompression Quality-Control Algorithm for JPEG 2000
IEEE Transactions on Image Processing
Robust Rate-Control for Wavelet-Based Image Coding via Conditional Probability Models
IEEE Transactions on Image Processing
Memory efficient progressive rate-distortion algorithm for JPEG 2000
IEEE Transactions on Circuits and Systems for Video Technology
Efficient rate control for JPEG2000 image coding
IEEE Transactions on Circuits and Systems for Video Technology
Efficient rate control for JPEG-2000
IEEE Transactions on Circuits and Systems for Video Technology
Efficient Rate-Control System With Three Stages for JPEG2000 Image Coding
IEEE Transactions on Circuits and Systems for Video Technology
JPEG2000 Quality Scalability Without Quality Layers
IEEE Transactions on Circuits and Systems for Video Technology
Lossy-to-lossless 3D image coding through prior coefficient lookup tables
Information Sciences: an International Journal
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Quality scalability is an important feature of image and video coding systems. In JPEG2000, quality scalability is achieved through the use of quality layers that are formed in the encoder through rate-distortion optimization techniques. Quality layers provide optimal rate-distortion representations of the image when the codestream is transmitted and/or decoded at layer boundaries. Nonetheless, applications such as interactive image transmission, video streaming, or transcoding demand layer fragmentation. The common approach to truncate layers is to keep the initial prefix of the to-be-truncated layer, which may greatly penalize the quality of decoded images, especially when the layer allocation is inadequate. So far, only one method has been proposed in the literature providing enhanced quality scalability for compressed JPEG2000 imagery. However, that method provides quality scalability at the expense of high computational costs, which prevents its application to the aforementioned applications. This paper introduces a Block-Wise Layer Truncation (BWLT) that, requiring negligible computational costs, enhances the quality scalability of compressed JPEG2000 images. The main insight behind BWLT is to dismantle and reassemble the to-be-fragmented layer by selecting the most relevant codestream segments of codeblocks within that layer. The selection process is conceived from a rate-distortion model that finely estimates rate-distortion contributions of codeblocks. Experimental results suggest that BWLT achieves near-optimal performance even when the codestream contains a single quality layer.