Lossy Compression of Cardiac X-Ray Images Based on Acquisition Noise
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Summary
The goal of this work is to illustrate the feasibility to use noise as a measure for data loss in compression of cardiac X-ray images, based on (overlapping) block transforms, exploiting the different spectral distr ibutions of signal and noise.
- Type
- article
- Published
- 1998-03-26
- Cited by
- 1
- References
- 12
- OpenAlex
- https://openalex.org/W76129308
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:16006227
Keywords
Lossy compression, Noise (video), Compression (physics), Computer vision, Computer science
References
- Wavelet Shrinkage: Asymptopia?
- Digital subtraction angiography (DSA) : The technique and an analysis of the physical factors influencing the image quality
- Overlapped Transform Coding of Images: Theory, Application and Realization
- Physics of Radiology
- Overlapped transform coding of medical x-ray images
- Probability, Random Variables, and Stochastic Processes
- De-noising by soft-thresholding
- Block Quantization of Correlated Gaussian Random Variables
- 1. Random Variables and Stochastic Processes