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Image quality assessment in the low quality regime
SPIE Proceedings, 2012Traditionally, image quality estimators have been designed and optimized to operate over the entire quality range of images in a database, from very low quality to visually lossless. However, if quality estimation is limited to a smaller quality range, their performances drop dramatically, and many image applications only operate over such a smaller
Guilherme O. Pinto, Sheila S. Hemami
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Water quality assessment by image processing
2015 38th International Conference on Telecommunications and Signal Processing (TSP), 2015We deal with a water quality assessment using an image processing methods in this article. Our suggested method for measurement of the water quality uses two well-known biological organisms sensitive to water toxicity. Their names are Daphnia magna and Lemna minor and they are frequently used for a water analysis from an ecotoxicology point of view. In
Karel Horák 0001 +2 more
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Blind image quality assessment
Proceedings. International Conference on Image Processing, 2003Blind image quality assessment refers to the problem of evaluating the visual quality of an image without any reference. It addresses a fundamental distinction between fidelity and quality, i.e. human vision system usually does not need any reference to determine the subjective quality of a target image.
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Image Quality Assessment for Wood Images
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), 2022Heshalini Rajagopal +2 more
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Image quality assessment of endoscopic panorama images
2011 18th IEEE International Conference on Image Processing, 2011Endoscopic panorama images provide a wide field of view and assist in documentation and navigation. Their performance, registration errors, and blending artifacts have been evaluated. However, the similarity between local panorama regions and their input images based on a quality assessment regarding the human visual system (HVS) has not been addressed.
Alexander Behrens +3 more
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QUALITAS: Image Quality Assessment for Stereoscopic Images
Color and Imaging Conference, 2016In this article, the authors present a method for assessing image quality in stereoscopic images: QUALITAS. The proposed method is inspired by some features of the human visual system, such as contrast sensitivity, response to visual disparity and perception of distance. Individual qualities of the stereo-pair are not simply averaged.
C. Fernandez Maloigne +3 more
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METHOD FOR ASSESSING IMAGE QUALITY
2009The invention is a method for assessing image quality value of a distorted image with respect to a reference image. The method comprises the following steps: - computing (22, 23, 24), for each pixel of the distorted image, at least one quality level with respect to the reference image; - adding (25), for the distorted image, the quality levels ...
Ninassi, Alexandre +3 more
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No-Reference Image Quality Assessment for Facial Images
2012Image quality assessment traditionally means the comparison of original image with its distorted version using conventional methods like Mean Square Error (MSE) or Peak Signal to Noise Ratio (PSNR). In case of Blind Quality Evaluation with no prior knowledge about the image, a single parameter becomes insufficient to define the overall image quality ...
Debalina Bhattacharjee +2 more
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Blind Image Quality Assessment by Fast Quality Assessment Network
2021 7th International Symposium on System and Software Reliability (ISSSR), 2021Hua-Wen Chang +3 more
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Mammography – Assessment of Image Quality
Journal of the ICRU, 2009M. J. Yaffe +6 more
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