Journal ArticleDOI
Wavelet-based medical image compression with adaptive prediction.
Yao-Tien Chen,Din Chang Tseng +1 more
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TLDR
A lossless wavelet-based image compression method with adaptive prediction that achieves a higher compression rate on CT and MRI images comparing with several state-of-the-art methods.About:
This article is published in Computerized Medical Imaging and Graphics.The article was published on 2007-01-01. It has received 57 citations till now. The article focuses on the topics: Wavelet & Prediction by partial matching.read more
Citations
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Journal ArticleDOI
IBFDS: Intelligent bone fracture detection system
TL;DR: An intelligent classification system that would be capable of detecting and classifying the bone fractures is developed and the results show high efficiency and a classification rate.
Journal ArticleDOI
Backpropagation Neural Network Implementation for Medical Image Compression
TL;DR: Haar wavelet transform and discrete cosine transform are considered and a neural network is trained to relate the X-ray image contents to their ideal compression method and their optimum compression ratio.
Journal ArticleDOI
A high-performance lossless compression scheme for EEG signals using wavelet transform and neural network predictors
TL;DR: A new and efficient high performance lossless EEG compression using wavelet transform and neural network predictors is presented thereby providing diagnostic reliability for lossless transmission as well as recovery of EEG signals for telemedicine applications.
Journal ArticleDOI
A novel medical image compression using Ripplet transform
TL;DR: A novel compression method using Ripplet transform to represent singularities along arbitrarily shaped curves and Set Partitioning in Hierarchical Trees encoder to encode the significant coefficients to achieve high compression ratio.
Medical Image Compression using Wavelet Decomposition for Prediction Method
S. Ramesh,A. Shanmugam +1 more
TL;DR: A simple and lossless compression method for compression of medical images based on wavelet decomposition of the medical images followed by the correlation analysis of coefficients is offered.
References
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Journal ArticleDOI
The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets
TL;DR: In this paper, a lifting scheme is proposed for constructing compactly supported wavelets with compactly support duals, which can also speed up the fast wavelet transform and is shown to be useful in the construction of wavelets using interpolating scaling functions.
Journal ArticleDOI
New edge-directed interpolation
Xin Li,Michael T. Orchard +1 more
TL;DR: Simulation results demonstrate that the new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.
Journal ArticleDOI
Wavelet-based statistical signal processing using hidden Markov models
TL;DR: A new framework for statistical signal processing based on wavelet-domain hidden Markov models (HMMs) that concisely models the statistical dependencies and non-Gaussian statistics encountered in real-world signals is developed.
Journal ArticleDOI
The JPEG2000 still image coding system: an overview
TL;DR: It is interesting to note that JPEG2000 is being designed to address the requirements of a diversity of applications, e.g. Internet, color facsimile, printing, scanning, digital photography, remote sensing, mobile applications, medical imagery, digital library and E-commerce.
Journal ArticleDOI
Wavelet Transforms That Map Integers to Integers
TL;DR: Two approaches to build integer to integer wavelet transforms are presented and the precoder of Laroiaet al., used in information transmission, is adapted and combined with expansion factors for the high and low pass band in subband filtering.
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