A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
An embedded still image coder with rate-distortion optimization
IEEE Transactions on Image Processing
Image compression via joint statistical characterization in the wavelet domain
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Integer wavelet transform for embedded lossy to lossless image compression
IEEE Transactions on Image Processing
Precompression Quality-Control Algorithm for JPEG 2000
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Novel Distortion Estimation Technique for Hardware-Based JPEG2000 Encoder System
IEEE Transactions on Circuits and Systems for Video Technology
JPEG2000 Quality Scalability Without Quality Layers
IEEE Transactions on Circuits and Systems for Video Technology
Compression quality prediction model for JPEG2000
IEEE Transactions on Image Processing
Enhanced JPEG2000 quality scalability through block-wise layer truncation
EURASIP Journal on Advances in Signal Processing
Lossy-to-lossless 3D image coding through prior coefficient lookup tables
Information Sciences: an International Journal
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Bitplane coding is a common strategy used in current image coding systems to perform lossy, or lossy-to-lossless, compression. There exist several studies and applications employing bitplane coding that require estimators to approximate the distortion produced when data are successively coded and transmitted. Such estimators usually assume that coefficients are uniformly distributed in the quantization interval. Even though this assumption simplifies estimation, it does not exactly correspond with the nature of the signal. This work introduces new estimators to approximate the distortion produced by the successive coding of transform coefficients in bitplane image coders, which have been determined through a precise approximation of the coefficients' distribution within the quantization intervals. Experimental results obtained in three applications suggest that the proposed estimators are able to approximate distortion with very high accuracy, providing a significant improvement over state-of-the-art results.