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Found 8 papers, 1 papers with code
Data Acquisition and Preparation for Dual-reference Deep Learning of Image Super-Resolution
The resulting LR$\sim$HR image pairs can be aligned at very high sub-pixel precision by a novel spatial-frequency dual-domain registration method, and hence they provide more appropriate training data for the learning task of super-resolution.
Deep Learning with Inaccurate Training Data for Image Restoration
In many applications of deep learning, particularly those in image restoration, it is either very difficult, prohibitively expensive, or outright impossible to obtain paired training data precisely as in the real world.
Demoiréing of Camera-Captured Screen Images Using Deep Convolutional Neural Network
Taking photos of optoelectronic displays is a direct and spontaneous way of transferring data and keeping records, which is widely practiced.
Learning-Based Dequantization For Image Restoration Against Extremely Poor Illumination
All existing image enhancement methods, such as HDR tone mapping, cannot recover A/D quantization losses due to insufficient or excessive lighting, (underflow and overflow problems).
Cognitive Deficit of Deep Learning in Numerosity
Subitizing, or the sense of small natural numbers, is an innate cognitive function of humans and primates; it responds to visual stimuli prior to the development of any symbolic skills, language or arithmetic.
Single Image Reflection Removal Using Deep Encoder-Decoder Network
Image of a scene captured through a piece of transparent and reflective material, such as glass, is often spoiled by a superimposed layer of reflection image.
Fast Screening Algorithm for Rotation and Scale Invariant Template Matching
This paper presents a generic pre-processor for expediting conventional template matching techniques.
Quality Adaptive Low-Rank Based JPEG Decoding with Applications
Small compression noises, despite being transparent to human eyes, can adversely affect the results of many image restoration processes, if left unaccounted for.
