Advances in adversarial attacks and defenses in computer vision: A survey
Deep Learning is the most widely used tool in the contemporary field of computer vision. Its
ability to accurately solve complex problems is employed in vision research to learn deep …
ability to accurately solve complex problems is employed in vision research to learn deep …
Natural image statistics and neural representation
EP Simoncelli, BA Olshausen - Annual review of neuroscience, 2001 - annualreviews.org
▪ Abstract It has long been assumed that sensory neurons are adapted, through both
evolutionary and developmental processes, to the statistical properties of the signals to …
evolutionary and developmental processes, to the statistical properties of the signals to …
Threat of adversarial attacks on deep learning in computer vision: A survey
Deep learning is at the heart of the current rise of artificial intelligence. In the field of
computer vision, it has become the workhorse for applications ranging from self-driving cars …
computer vision, it has become the workhorse for applications ranging from self-driving cars …
A feature-enriched completely blind image quality evaluator
Existing blind image quality assessment (BIQA) methods are mostly opinion-aware. They
learn regression models from training images with associated human subjective scores to …
learn regression models from training images with associated human subjective scores to …
Blind image quality assessment based on high order statistics aggregation
Blind image quality assessment (BIQA) research aims to develop a perceptual model to
evaluate the quality of distorted images automatically and accurately without access to the …
evaluate the quality of distorted images automatically and accurately without access to the …
[HTML][HTML] Perceptual quality prediction on authentically distorted images using a bag of features approach
D Ghadiyaram, AC Bovik - Journal of vision, 2017 - jov.arvojournals.org
Current top-performing blind perceptual image quality prediction models are generally
trained on legacy databases of human quality opinion scores on synthetically distorted …
trained on legacy databases of human quality opinion scores on synthetically distorted …
Directive contrast based multimodal medical image fusion in NSCT domain
<? Pub Dtl=""?> Multimodal medical image fusion, as a powerful tool for the clinical
applications, has developed with the advent of various imaging modalities in medical …
applications, has developed with the advent of various imaging modalities in medical …
Color transfer between images
E Reinhard, M Adhikhmin, B Gooch… - … Computer graphics and …, 2001 - ieeexplore.ieee.org
Color transfer between images Page 1 One of the most common tasks in image processing is to
alter an image’s color. Often this means removing a dominant and undesirable color cast, such …
alter an image’s color. Often this means removing a dominant and undesirable color cast, such …
Statistics of real-world hyperspectral images
A Chakrabarti, T Zickler - CVPR 2011, 2011 - ieeexplore.ieee.org
Hyperspectral images provide higher spectral resolution than typical RGB images by
including per-pixel irradiance measurements in a number of narrow bands of wavelength in …
including per-pixel irradiance measurements in a number of narrow bands of wavelength in …
High dynamic range imaging
E Reinhard - Computer Vision: A Reference Guide, 2020 - Springer
High dynamic range (HDR) imaging comprises a range of techniques for capturing, storing,
editing, transmitting, and displaying images and video with an extended range of values …
editing, transmitting, and displaying images and video with an extended range of values …