Abstract: In Deep Image Prior (DIP), a Convolutional Neural Network (CNN) is fitted to map a latent space to a degraded (e.g. noisy) image but in the process learns to reconstruct the clean image.
Gray codes, also known as reflected binary codes, offer a clever way to minimize errors when digital signals transition between states. By ensuring that only one bit changes at a time, they simplify ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
1 Department of Computer Engineering, School of Engineering, The University of Jordan, Amman, Jordan. 2 Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ...
SAN JOSE, Calif.--(BUSINESS WIRE)--Joint Video Experts Team (JVET), consisting of video coding experts from MPEG of ISO/IEC and VCEG of ITU-T, reached a key milestone of completing version 1 of the ...
Hi, First of all great work. Wanted to know if the code for convolution LGN is going to be publicly available anytime soon? Also, I was quite curious about the adder tree structure that mimics ...
Abstract: Multidimensional (m-D, m/spl ges/2) finite support convolutional code has become a new area of research in the multidimensional system and signal processing. While the one-dimensional ...
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