Results 251 to 260 of about 230,825 (293)

A no-reference image quality assessment

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN), 2013
This 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
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No-reference image quality assessment of wavelet coded images

2010 IEEE International Conference on Image Processing, 2010
In the modern era of Internet, many user-end applications require the estimation of quality of images directly from the bitstreams, as the original image may not be available. This is a challenging issue. In this paper, we propose a novel approach of no-reference (NR) objective quality assessment of wavelet coded images. The proposed method is based on
Mohd. Haroon Khan, Athar Ali Moinuddin, Ekram Khan, Mohammed Ghanbari 0001   +3 more
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No-Reference Image Quality Assessment for Contrast Distorted Images

2021
Image contrast distortion is a common type of distortion in digital images. However, there is almost no research on the no-reference image quality assessment (NR-IQA) algorithm for image contrast. Therefore, we propose a histogram-based NR-IQA algorithm for contrast distorted images.
Yiming Zhu, Xianzhi Chen, Shengkui Dai
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No-Reference Image Quality Assessment for Image Auto-Denoising

International Journal of Computer Vision, 2017
This paper proposes two new non-reference image quality metrics that can be adopted by the state-of-the-art image/video denoising algorithms for auto-denoising. The first metric is proposed based on the assumption that the noise should be independent of the original image.
Xiangfei Kong, Qingxiong Yang
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No-Reference Fingerprint Image Quality Assessment

2014
Quality 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
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No-reference blurred image quality assessment

3rd European Workshop on Visual Information Processing, 2011
In the aim to reduce blur in images, one could perform a No-Reference image quality assessment to control blur reduction. In this paper, a novel No-Reference blur image quality metric is proposed. This approach is based on a new Multiplicative Multiresolution Decomposition MMD. The blur is analyzed through MMD scales and a blur metric is deduced.
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An image response framework for no-reference image quality assessment

Computers & Electrical Engineering, 2018
Abstract This paper proposes an image response framework for no-reference image quality assessment (NR IQA). The framework is an image quality feature extension framework, extending existing image quality features to new NR image quality features.
Tongfeng Sun, Shifei Ding, Xinzheng Xu
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Learning quality-aware filters for no-reference image quality assessment

2014 IEEE International Conference on Multimedia and Expo (ICME), 2014
With 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 ...
Zhongyi Gu, Lin Zhang 0014, Xiaoxu Liu, Hongyu Li 0001, Jianwei Lu   +4 more
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Reduced-reference quality assessment for retargeted images

2012 19th IEEE International Conference on Image Processing, 2012
Recent years have witnessed tremendous growth in the generation and consumption of digital images. Monitoring and evaluating image quality is an important issue for online and mobile media applications. Conventional quality assessment work mostly focus on intensity level distortion caused by operations that do not change image size.
Wenjun Lu, Min Wu 0001
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A No-Reference Image Quality Comprehensive Assessment Method

International Journal of Pattern Recognition and Artificial Intelligence, 2020
On the basis of the research status of image quality comprehensive assessment, a no-reference image quality comprehensive assessment function model is proposed in this paper. First, the image quality is classified as contrast, sharpness, and signal-to-noise ratio (SNR), and the interrelation of each assessment index is researched and analyzed; second,
Yuanyuan Fan, Yingjun Sang
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