Results 21 to 30 of about 2,327,998 (70)
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs). However, it's still very challenging for translation tasks that require high quality, especially at high-resolution and photorealism.
C Dong+9 more
core +1 more source
Imaging is an invaluable tool in many research areas and other advanced domains such as health care. When developing any system dealing with images, image quality issues are insurmountable. This report describes digital image quality from many viewpoints,
Lundström, Claes
core +1 more source
Ultrasound image quality assessment: a framework for evaluation of clinical image quality [PDF]
Improvement of ultrasound images should be guided by their diagnostic value. Evaluation of clinical image quality is generally performed subjectively, because objective criteria have not yet been fully developed and accepted for the evaluation of clinical image quality.
Hemmsen, Martin Christian+4 more
openaire +3 more sources
Image Quality Assessment Based on Detail Differences [PDF]
This paper presents a novel Full Reference method for image quality assessment based on two indices measuring respectively detail loss and spurious detail addition.
DI CLAUDIO, Elio, IACOVITTI, Giovanni
core
Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing
Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality metrics in applications such as hyperparameter optimization of image ...
Hast, Anders+2 more
core +1 more source
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
Most publicly available image quality databases have been created under highly controlled conditions by introducing graded simulated distortions onto high-quality photographs.
Bovik, Alan C., Ghadiyaram, Deepti
core +1 more source
Predicting Face Recognition Performance Using Image Quality [PDF]
This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality features (e.g. pose, illumination, etc.) and recognition performance measures
Dutta, Abhishek+2 more
core +1 more source
This paper presents a new color image enhancement technique based on modified MultiScale Retinex(MSR) algorithm and visual quality of the enhanced images are evaluated using a new metric, namely, wavelet energy. The color image enhancement is achieved by
Hanumantharaju, M. C+2 more
core +1 more source
Investigation of iterative image reconstruction in three-dimensional optoacoustic tomography
Iterative image reconstruction algorithms for optoacoustic tomography (OAT), also known as photoacoustic tomography, have the ability to improve image quality over analytic algorithms due to their ability to incorporate accurate models of the imaging ...
Alexander A Oraevsky+9 more
core +1 more source
Quality assurance in ophthalmic imaging
Quality assurance (QA) is the maintenance of a desired level of quality in a service, by means of attention to every stage of process of delivery. Correct image acquisition along with accurate and reproducible quantification of ophthalmic imaging is crucial for evaluating disease progression/stabilization, response to therapy, and planning proper ...
T Nirmal Fredrick+2 more
openaire +4 more sources