Results 11 to 20 of about 2,327,998 (70)
Transformer For Image Quality Assessment [PDF]
Transformer has become the new standard method in natural language processing (NLP), and it also attracts research interests in computer vision area. In this paper we investigate the application of Transformer in Image Quality (TRIQ) assessment. Following the original Transformer encoder employed in Vision Transformer (ViT), we propose an architecture ...
Jari Korhonen, Junyong You
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On color image quality assessment using natural image statistics
Color distortion can introduce a significant damage in visual quality perception, however, most of existing reduced-reference quality measures are designed for grayscale images.
Abdelouahad, Abdelkaher Ait+3 more
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A reduced-reference perceptual image and video quality metric based on edge preservation [PDF]
In image and video compression and transmission, it is important to rely on an objective image/video quality metric which accurately represents the subjective quality of processed images and video sequences.
AL Yarbus+27 more
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Quality Classified Image Analysis with Application to Face Detection and Recognition
Motion blur, out of focus, insufficient spatial resolution, lossy compression and many other factors can all cause an image to have poor quality. However, image quality is a largely ignored issue in traditional pattern recognition literature.
Qiu, Guoping+3 more
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We have collected a large dataset of subjective image quality “*nesses,” such as sharpness or colorfulness. The dataset comes from seven studies and contains 39,415 quotations from 146 observers who have evaluated 62 scenes either in print images or on display.
Virtanen, Toni+2 more
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Sparse Representation-based Image Quality Assessment
A successful approach to image quality assessment involves comparing the structural information between a distorted and its reference image. However, extracting structural information that is perceptually important to our visual system is a challenging ...
Guha, Tanaya+2 more
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Full Reference Objective Quality Assessment for Reconstructed Background Images
With an increased interest in applications that require a clean background image, such as video surveillance, object tracking, street view imaging and location-based services on web-based maps, multiple algorithms have been developed to reconstruct a ...
Karam, Lina, Shrotre, Aditee
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Statistical evaluation of visual quality metrics for image denoising
This paper studies the problem of full reference visual quality assessment of denoised images with a special emphasis on images with low contrast and noise-like texture.
Egiazarian, Karen+3 more
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Image Quality Assessment for Magnetic Resonance Imaging
Image quality assessment (IQA) algorithms aim to reproduce the human's perception of the image quality. The growing popularity of image enhancement, generation, and recovery models instigated the development of many methods to assess their performance.
Sergey Kastryulin+3 more
openaire +4 more sources
No-reference Image Denoising Quality Assessment [PDF]
A wide variety of image denoising methods are available now. However, the performance of a denoising algorithm often depends on individual input noisy images as well as its parameter setting.
Lu, Si
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