Results 251 to 260 of about 3,764,625 (277)
Some of the next articles are maybe not open access.
Hybrid no-reference video quality prediction
2009 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2009This paper describes how the quality of H.264/AVC encoded standard resolution video sequences may be accurately estimated within a suitable video decoder. Results are presented for eighteen different content clips from bit-rates of 100 kbit/s up to 14 Mbit/s and show the technique to outperform traditional peak signal-to-noise ratio (PSNR) estimation ...
Andrew G. Davis +2 more
openaire +1 more source
Novel no-reference multi-dimensional perceptual similarity metric
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022Enormous progress has been made in the domain of determining image quality. However, even the recently proposed deep learning based perceptual quality metrics and the classical structural similarity metric (SSIM) are not designed to operate in the absence of a good quality reference image.
Srividya Tirunellai, Rajamani +8 more
openaire +2 more sources
No-Reference Methods and Fuzzy Sets
2018This model can then be used in any progressive stochastic global illumination method in order to estimate the noise level of different parts of any image. A comparative study of this model with a simple test image demonstrates the good consistency between an added noise value and the results from the noise estimator.
André Bigand +3 more
openaire +1 more source
No-reference Harmony-Guided Quality Assessment
2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2013Color harmony of simple color patterns has been widely studied for color design. Rules defined then by psychological experiments have been applied to derive image aesthetic scores, or to re-colorize pictures. But what is harmonious or not in an image? What can the human eye perceive disharmonious?
Christel Chamaret, Fabrice Urban
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
A no-reference stereoscopic quality metric
SPIE Proceedings, 2015Although a lot of progress has been made in the development of 2D objective video quality metrics, the area of 3D video quality metrics is still in its infancy. Many of the proposed metrics are simply adaptations of 2D quality metrics that consider the depth channel as an extra color channel.
Alessandro R. Silva +2 more
openaire +1 more source
No-Reference Video Shakiness Quality Assessment
2017Video shakiness is a common problem for videos captured by hand-hold devices. How to evaluate the influence of video shakiness on human perception and design an objective quality assessment model is a challenging problem. In this work, we first conduct subjective experiments and construct a data-set with human scores.
Zhaoxiong Cui, Tingting Jiang
openaire +1 more source
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
No Reference Block Based Blur Detection
2009 International Workshop on Quality of Multimedia Experience, 2009Blur is one of the most important features related to image quality. Accurately estimating the blur level of an image is of great help to estimate its quality. In this paper, a No Reference Block-based Blur Detection (NR-BBD) algorithm is proposed. It calculates the local blur at the boundaries of Macro Blocks (MBs) and then averages all of them to get
Debing Liu +4 more
openaire +1 more source