[PDF][PDF] FLIP: A Difference Evaluator for Alternating Images.
P Andersson, J Nilsson… - Proc. ACM …, 2020 - developer-blogs.nvidia.com
In computer graphics, image quality metrics have been used to guide algorithmic
development, to compare the performance of rendering techniques, and to improve on loss …
development, to compare the performance of rendering techniques, and to improve on loss …
A no-reference metric for evaluating the quality of motion deblurring
Methods to undo the effects of motion blur are the subject of intense research, but evaluating
and tuning these algorithms has traditionally required either user input or the availability of …
and tuning these algorithms has traditionally required either user input or the availability of …
Subjective and objective visual quality assessment of textured 3D meshes
Objective visual quality assessment of 3D models is a fundamental issue in computer
graphics. Quality assessment metrics may allow a wide range of processes to be guided and …
graphics. Quality assessment metrics may allow a wide range of processes to be guided and …
Perception‐driven accelerated rendering
Advances in computer graphics enable us to create digital images of astonishing complexity
and realism. However, processing resources are still a limiting factor. Hence, many costly …
and realism. However, processing resources are still a limiting factor. Hence, many costly …
On the efficiency of image metrics for evaluating the visual quality of 3D models
3D meshes are deployed in a wide range of application processes (eg, transmission,
compression, simplification, watermarking and so on) which inevitably introduce geometric …
compression, simplification, watermarking and so on) which inevitably introduce geometric …
Dataset and metrics for predicting local visible differences
A large number of imaging and computer graphics applications require localized information
on the visibility of image distortions. Existing image quality metrics are not suitable for this …
on the visibility of image distortions. Existing image quality metrics are not suitable for this …
Objective image quality assessment: a survey
Image quality assessment (IQA) is critically important for the image-processing field. IQA
aims to build a computational model to predict human perceived image quality, accurately …
aims to build a computational model to predict human perceived image quality, accurately …
Quality assessment in computer graphics
In this chapter, we review the existing works regarding visual quality assessment in
computer graphics. This broad area of research includes many sub-domains which make …
computer graphics. This broad area of research includes many sub-domains which make …
Efficient and robust radiance transfer for probeless photorealistic augmented reality
Photorealistic Augmented Reality (AR) requires knowledge of the scene geometry and
environment lighting to compute photometric registration. Recent work has introduced …
environment lighting to compute photometric registration. Recent work has introduced …
Image visual realism: From human perception to machine computation
Visual realism is defined as the extent to which an image appears to people as a photo
rather than computer generated. Assessing visual realism is important in applications like …
rather than computer generated. Assessing visual realism is important in applications like …