Results 11 to 20 of about 21,548,252 (255)
Blockiness Estimation in Reduced Reference Mode for Image Quality Assessment [PDF]
In this paper we present blockiness estimation meter in reduced reference mode using frequency domain analysis. Since blockiness is an abrupt luminance discontinuity at the DCT block boundaries and also has periodic patterns, therefore blockiness ...
Ghanbari, M, Qadri, MT
core +6 more sources
Image quality assessment based on harmonics gain/loss information [PDF]
We present an objective reduced-reference image quality assessment method based on harmonic gain/loss information through a discriminative analysis of local harmonic strength (LHS).
Gunawan, I.P. +3 more
core +1 more source
Saliency-Guided Local Full-Reference Image Quality Assessment
Research and development of image quality assessment (IQA) algorithms have been in the focus of the computer vision and image processing community for decades.
Domonkos Varga
doaj +1 more source
2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges
Image quality is important not only for the viewing experience, but also for the performance of image processing algorithms. Image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision.
Yuzhen Niu +4 more
doaj +1 more source
IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES [PDF]
It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition. In the paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data.
Z. Han, X. Tang, X. Gao, F. Hu
doaj +1 more source
Content-Aware Retargeted Image Quality Assessment
In targeting the low correlation between existing image scaling quality assessment methods and subjective awareness, a content-aware retargeted image quality assessment algorithm is proposed, which is based on the structural similarity index.
Tingting Zhang +3 more
doaj +1 more source
Image analysis and statistical modelling for measurement and quality assessment of ornamental horticulture crops in glasshouses [PDF]
Image analysis for ornamental crops is discussed with examples from the bedding plant industry. Feed-forward artificial neural networks are used to segment top and side view images of three contrasting species of bedding plants.
Parsons, Nicholas R. +2 more
core +1 more source
Theme-Aware Semi-Supervised Image Aesthetic Quality Assessment
Image aesthetic quality assessment (IAQA) has aroused considerable interest in recent years and is widely used in various applications, such as image retrieval, album management, chat robot and social media.
Xiaodan Zhang +3 more
doaj +1 more source
Current Trends and Advances in Image Quality Assessment
Image quality assessment (IQA) is one of the constantly active areas of research in computer vision. Starting from the idea of Universal Image Quality Index (UIQI), followed by well-known Structural Similarity (SSIM) and its numerous extensions and ...
Krzysztof Okarma
doaj +1 more source
No-Reference Image Quality Assessment Method Based on Visual Parameters
Recent studies on no-reference image quality assessment (NR-IQA) methods usually learn to evaluate the image quality by regressing from human subjective scores of the training samples. This study presented an NR-IQA method based on the basic image visual
Yu-Hong Liu, Kai-Fu Yang, Hong-Mei Yan
doaj +1 more source

