GCHQ intercepted webcam images of millions of Yahoo users worldwide
Points: 1122 | Comments: 304 | Author: callum85
Towards Automated Semantic Segmentation in Mammography Images
Mammography images are widely used to detect non-palpable breast lesions or nodules, preventing cancer and providing the opportunity to plan interventions when necessary. The identification of some structures of interest is essential to make a diagno...
Breast/nipple imagery
So recently I’ve noticed the Beyoncé has been really emphasizing breast and nipple imagery in this era and I wonder if it could mean anything? Is it an Easter egg? The beginning of a new era? Or am...
Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
Image segmentation is a challenging task influenced by multiple sources of uncertainty, such as the data labeling process or the sampling of training data. In this paper we focus on binary segmentation and address these challenges using conformal pre...
GuavaNet: A deep neural network architecture for automatic sensory evaluation to…
This thesis is divided into two parts:Part I: Analysis of Fruits, Vegetables, Cheese and Fish based on Image Processing using Computer Vision and Deep Learning: A Review. It consists of a comprehensive review of image processing, computer vision and...
The Piston image library is now pure Rust
Points: 308 | Comments: 125 | Author: tekacs
UX Heuristics and Checklist for Deep Learning powered Mobile Applications with I…
Advances in mobile applications providing image classification enabled by Deep Learning require innovative User Experience solutions in order to assure their adequate use by users. To aid the design process, usability heuristics are typically customi...
Constraining the size of the dark region around the M87 black hole by space-VLBI…
In order to examine if the next generation space VLBI,such as VSOP-2 (VLBI Space Observatory Programme-2), will make it possible to obtain direct images of the accretion flow around the M87 black hole, we calculate the expected observed images by the...
RUBi: Reducing Unimodal Biases in Visual Question Answering
Visual Question Answering (VQA) is the task of answering questions about an image. Some VQA models often exploit unimodal biases to provide the correct answer without using the image information. As a result, they suffer from a huge drop in performan...
RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Fl…
RGB-to-RAW reconstruction, or the reverse modeling of a camera Image Signal Processing (ISP) pipeline, aims to recover high-fidelity RAW data from RGB images. Despite notable progress, existing learning-based methods typically treat this task as a di...
Beyond Calibration: Physically Informed Learning for Raw-to-Raw Mapping
Achieving consistent color reproduction across multiple cameras is essential for seamless image fusion and Image Processing Pipeline (ISP) compatibility in modern devices, but it is a challenging task due to variations in sensors and optics. Existing...
Raw-JPEG Adapter: Efficient Raw Image Compression with JPEG
Digital cameras digitize scene light into linear raw representations, which the image signal processor (ISP) converts into display-ready outputs. While raw data preserves full sensor information--valuable for editing and vision tasks--formats such as...
ADD: An Automatic Desensitization Fisheye Dataset for Autonomous Driving
Autonomous driving systems require many images for analyzing the surrounding environment. However, there is fewer data protection for private information among these captured images, such as pedestrian faces or vehicle license plates, which has becom...
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Photograph - Wikipedia
A photograph (also known as a photo, or more generically referred to as an image or picture) is an image created by light falling on a photosensitive surface, usually photographic film or an electronic …
Rendition: Reclaiming what a black box takes away
The premise of our work is deceptively familiar: A black box $f(\cdot)$ has altered an image $\mathbf{x} \rightarrow f(\mathbf{x})$. Recover the image $\mathbf{x}$. This black box might be any number of simple or complicated things: a linear or non-l...
The TESS Ten Thousand Catalog: 10,001 uniformly-vetted and -validated Eclipsing…
The Transiting Exoplanet Survey Satellite (TESS) has surveyed nearly the entire sky in Full-Frame Image mode with a time resolution of 200 seconds to 30 minutes and a temporal baseline of at least 27 days. In addition to the primary goal of discoveri...
bagmk/Quantum_storm-chasers
We propose an quantum image processing platform covering various verticals such as weather forecasting. They all can be modeled using recurrent neural networks due to their temporal interactions. In our detailed business proposal we describe the weather foreca…
sepidehsayad/OPAP-method-steganograohy
a modification on the LSB method has been proposed using an optimal pixel adjustment process to reduce the mean-squared-error between cover image and stego-image. (⭐ 5)
Verisimilar Image Synthesis for Accurate Detection and Recognition of Texts in S…
The requirement of large amounts of annotated images has become one grand challenge while training deep neural network models for various visual detection and recognition tasks. This paper presents a novel image synthesis technique that aims to gener...