Multichannel transforms for signal/image processing

1996 ◽  
Vol 5 (10) ◽  
pp. 1402-1413 ◽  
Author(s):  
I. Pitas ◽  
A. Karasaridis
Keyword(s):  
Image Processing ◽  
Signal Image

Explicit Haar–Schauder multiwavelet filters and algorithms. Part II: Relative entropy-based estimation for optimal modeling of biomedical signals

2019 ◽  
Vol 17 (05) ◽  
pp. 1950038 ◽  
Author(s):  
Makerem Zemni ◽  
Malika Jallouli ◽  
Anouar Ben Mabrouk ◽  
Mohamed Ali Mahjoub
Keyword(s):  
Image Processing ◽  
Relative Entropy ◽  
Simulation Study ◽  
Wavelet Theory ◽  
Biomedical Signal ◽  
New Approach ◽  
Biomedical Signals ◽  
Image Processing And Analysis ◽  
Signal Image ◽  
Optimal Modeling

Biomedical signal/image processing and analysis are always fascinating tasks in scientific researches, both theoretical and practical. One of the powerful tools in such topics is wavelet theory which has been proved to be challenging since its discovery. One of the best measures of the optimality of reconstruction of signals/images is the well-known Shannon’s entropy. In wavelet theory, this is very well known and researchers are familiar with it. In the present work, a step forward is proposed based on more general wavelet tools. New approach is proposed for the reconstruction of signals/images provided with multiwavelets Shannon-type entropy to evaluate the order/disorder of the reconstructed signals/images. Efficiency and accuracy of the approach is confirmed by a simulation study on several models such as ECG, EEG and DNA/Proteins’ signals.

A flexible mixed-signal image processing pipeline using 3D chip stacks

2016 ◽  
Vol 14 (3) ◽  
pp. 517-534 ◽  
Author(s):  
Lan Shi ◽  
Christopher Soell ◽  
Benjamin Pfundt ◽  
Andreas Baenisch ◽  
Marc Reichenbach ◽  
...  
Keyword(s):  
Image Processing ◽  
Mixed Signal ◽  
Processing Pipeline ◽  
Signal Image

Slow-scan imaging applications of a digital video framestore system

1983 ◽  
Vol 41 ◽  
pp. 326-327
Author(s):  
E. D. Boyes ◽  
M. J. Goringe ◽  
J. J. Gill ◽  
B. J. Muggridge ◽  
J. p. Northover ◽  
...  
Keyword(s):  
Image Processing ◽  
Electron Microscope ◽  
Electron Probe ◽  
Digital Video ◽  
Video Recording ◽  
Time Averaging ◽  
Spatially Resolved ◽  
Signal Image ◽  
Essential Prerequisite ◽  
Scanning Electron

Conversion of slow scan signals with a continuously updated image display or video recording at TV rate is one of the functions available using a digital video framestore system in conjunction with a scanning electron microscope (SEM, STEM, AEM etc.) or other types of electron probe equipment e.g. EPMA, AES etc. Acceptable inputs are standard TV format; digital sampling of a range of analogue slow scans or directly coupled digital scans.Routines for noise reduction by spatially resolved time averaging during acquisition are under software control with direct operator involvement in selecting the appropriate conditions via a soft-key redesignation of the VDU numeric pad functions (Fig.l) and within the possibilities of the hardware; making TV rate more useable e.g. to reduce specimen charging and as an essential prerequisite to more sophisticated signal/image processing. Both running average (RVP, 8-bit) and straight integration (16-bit) modes are possible with the Microconsultants Intellect systems in use in our laboratory.

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