Results 231 to 240 of about 1,054,642 (283)
Some of the next articles are maybe not open access.
No reference image quality assessment
2014 Annual IEEE India Conference (INDICON), 2014The implementation of algorithm for no reference image quality assessment is presented. Aim of the project is to implement an image quality assessment algorithm which will assess the quality of the test image without any reference and predict the quality score for the test image.
Vrushali S. Mandgaonkar +1 more
openaire +1 more source
No-reference stereoscopic image quality assessment
SPIE Proceedings, 2010Display of stereo images is widely used to enhance the viewing experience of three-dimensional imaging and communication systems. In this paper, we propose a method for estimating the quality of stereoscopic images using segmented image features and disparity. This method is inspired by the human visual system.
Roushain Akhter +3 more
openaire +1 more source
A no-reference image quality assessment
2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN), 2013This paper presents a no-reference image quality assessment, targeted towards blur distortions based on the study of human blur perception for varying contrast values. A probabilistic framework is developed based on the sensitivity of human blur perception at different contrasts.
A. K. Kemalkar, V. K. Bairagi
openaire +1 more source
No-Reference Image Quality Assessment Using Visual Codebooks
IEEE Transactions on Image Processing, 2012The goal of no-reference objective image quality assessment (NR-IQA) is to develop a computational model that can predict the human-perceived quality of distorted images accurately and automatically without any prior knowledge of reference images. Most existing NR-IQA approaches are distortion specific and are typically limited to one or two specific ...
Peng, Ye, David, Doermann
openaire +2 more sources
Learning quality-aware filters for no-reference image quality assessment
2014 IEEE International Conference on Multimedia and Expo (ICME), 2014With the rapid development of the usage of digital imaging and communication technologies, there appears to be a great demand for fast and practical approaches for image quality assessment (IQA) algorithms that can match human judgements. In this paper, we propose a novel general-purpose no-reference IQA (NR-IQA) framework by means of learning quality ...
Lin Zhang +4 more
openaire +1 more source
No-reference quality assessment of enhanced images
China Communications, 2016Image enhancement is a popular technique, which is widely used to improve the visual quality of images. While image enhancement has been extensively investigated, the relevant quality assessment of enhanced images remains an open problem, which may hinder further development of enhancement techniques.
Leida Li +5 more
openaire +1 more source
Reduced- and No-Reference Image Quality Assessment
IEEE Signal Processing Magazine, 2011Recent years have witnessed dramatically increased interest and demand for accurate, easy-to-use, and practical image quality assessment (IQA) and video quality assessment (VQA) tools that can be used to evaluate, control, and improve the perceptual quality of multimedia content in a wide variety of practical multimedia signal acquisition ...
Zhou Wang, Alan Bovik
openaire +1 more source
No-Reference Image Quality Assessment: An Attention Driven Approach
IEEE Transactions on Image Processing, 2020In this paper, we tackle no-reference image quality assessment (NR-IQA), which aims to predict the perceptual quality of a distorted image without referencing its pristinequality counterpart. Inspired by the free-energy principle, we assume that, while perceiving a distorted image, the human visual system (HVS) tends to predict the pristine image then ...
Diqi Chen, Yizhou Wang, Wen Gao
openaire +2 more sources
No-Reference Fingerprint Image Quality Assessment
2014Quality of a fingerprint image is assessed to control the registration of poor quality images in the database so that a good accuracy of fingerprint recognition system can be achieved. This paper proposes a quality assessment scheme for digital fingerprint image. It makes use of complete ridge line of a thinned fingerprint image for quality assessment.
Kamlesh Tiwari, Phalguni Gupta
openaire +1 more source