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Edge-aware pre and post-processing for JPEG images using deep learning architectures
We introduce a learning-based CNN architecture for both pre-and post-processing in
conjunction with the standard JPEG codec to enhance compression artifact removal. Our …
conjunction with the standard JPEG codec to enhance compression artifact removal. Our …
Image-to-Image Translation with CNN Based Perceptual Similarity Metrics
Image-to-image translation is the process of transforming images from different domains.
Generative Adversarial Networks (GANs), and Convolutional Neural Networks (CNNs) are …
Generative Adversarial Networks (GANs), and Convolutional Neural Networks (CNNs) are …
[PDF][PDF] Improving Video Encoding Using Deep Learning Super Resolution
M Abdelazim - 2024 - researchportal.port.ac.uk
The digital landscape is rapidly evolving, marked by significant advancements in digital
hardware and data processing. This progress has led to new requirements for consumer …
hardware and data processing. This progress has led to new requirements for consumer …
[PDF][PDF] Food Recognition Using Extreme Learning Machines
TK Sanjeev, M Meleet - academia.edu
New pictures of current classes are always arriving in open-ended continuous learning, and
new classes are constantly appearing. Due to the great generalization capacity which was …
new classes are constantly appearing. Due to the great generalization capacity which was …