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Found 7 papers, 1 papers with code
ReDMark: Framework for Residual Diffusion Watermarking on Deep Networks
Due to the rapid growth of machine learning tools and specifically deep networks in various computer vision and image processing areas, application of Convolutional Neural Networks for watermarking have recently emerged.
Lossless Compression of Angiogram Foreground with Visual Quality Preservation of Background
By increasing the volume of telemedicine information, the need for medical image compression has become more important.
Context aware saliency map generation using semantic segmentation
In this paper a saliency map is proposed, based on image context detection using semantic segmentation as a high level feature.
Artistic Instance-Aware Image Filtering by Convolutional Neural Networks
In this paper, we utilize an instance segmentation neural network to obtain a class mask for separately filtering the background and foreground of an image.
Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks
In this paper, we introduce the proposed methods in both saliency detection and retargeting.
Image Seam-Carving by Controlling Positional Distribution of Seams
Image retargeting is a new image processing task that renders the change of aspect ratio in images.
A Learning-Inspired Strategy to Design Binary Sequences with Good Correlation Properties: SISO and MIMO Radar Systems
In this paper, the design of binary sequences exhibiting low values of aperiodic/periodic correlation functions, in terms of Integrated Sidelobe Level (ISL), is pursued via a learning-inspired method.
