CONTEXT
The denoising of signals often involves the reduction of pulse-type noise generated by electronic CCD / CMOS sensors or the acquisition electronics associated with them. The size of the processed image is limited because current solutions (median / convolution filters) have limitations in terms of processing speed and sizes of noise filters.
DESCRIPTION
The invention provides techniques for implementing and optimizing median / convolution / iterative filters for GPUs. This results in advantageous performance in terms of processing speed, the size of the filters allowed, the quality of the images (for the medians). In addition, the method is applicable to 1D (audio) or 2D (images) signals, and possibly 3D.
COMPETITIVE ADVANTAGES
MARKETS AND APPLICATIONS
DEVELOPMENT STAGE
Validation of the technique in an operational environment (TRL 6)
RESEARCH TEAM
Institut FEMTO-Sciences & Technologies
INTELLECTUAL PROPERTY
Software deposit in progress
TARGET PARTNERSHIP
License or co-development
CONTACT
Abdelkader GUELLIL
Business Development Manager
+33 (0)6 26 61 89 06
abdelkader.guellil@sayens.fr