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Proceedings., International Conference on Image Processing, 2002
Determining the readability of documents is an important task. Human readability pertains to the scenario when a document image is ultimately presented to a human to read. Machine readability pertains to the scenario when the document is subjected to an OCR process. In either case, poor image quality might render a document unreadable. A document image
Venugopal Govindaraju, Sargur N. Srihari
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Determining the readability of documents is an important task. Human readability pertains to the scenario when a document image is ultimately presented to a human to read. Machine readability pertains to the scenario when the document is subjected to an OCR process. In either case, poor image quality might render a document unreadable. A document image
Venugopal Govindaraju, Sargur N. Srihari
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IEEE Transactions on Image Processing, 2006
We propose the concept of quality-aware image, in which certain extracted features of the original (high-quality) image are embedded into the image data as invisible hidden messages. When a distorted version of such an image is received, users can decode the hidden messages and use them to provide an objective measure of the quality of the distorted ...
Zhou Wang 0001 +5 more
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We propose the concept of quality-aware image, in which certain extracted features of the original (high-quality) image are embedded into the image data as invisible hidden messages. When a distorted version of such an image is received, users can decode the hidden messages and use them to provide an objective measure of the quality of the distorted ...
Zhou Wang 0001 +5 more
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Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
Summary form only given. Image quality research traditionally focuses on the subjective measurement, prediction, or improvement of image quality. The fundamental question of what image quality is, however, has been given surprisingly little attention.
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Summary form only given. Image quality research traditionally focuses on the subjective measurement, prediction, or improvement of image quality. The fundamental question of what image quality is, however, has been given surprisingly little attention.
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The semantics of image quality
Color and Imaging Conference, 1997Using an "infonnation-processing" approach we give a semantic description of image quality. Experimental evidence for this description, which allows one to meaningfully characterize the quality of an image as the degree to whieh the image can be successfully exploited by the observer, will be discussed.
Janssen, T.J.W.M., Blommaert, F.J.J.
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Computers & Chemical Engineering, 2009
Abstract Process monitoring using imaging can provide valuable information. However, the large number of images obtained necessitate automated classification into those showing “good” and “bad” product. This paper shows how a database of reference images can be used to modify image quality so as to obtain extremely high classification accuracies. The
Shuo Yan, Saed Sayad, Stephen T. Balke
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Abstract Process monitoring using imaging can provide valuable information. However, the large number of images obtained necessitate automated classification into those showing “good” and “bad” product. This paper shows how a database of reference images can be used to modify image quality so as to obtain extremely high classification accuracies. The
Shuo Yan, Saed Sayad, Stephen T. Balke
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2019
Deep learning with Convolutional Neural Networks (CNN) requires large number of training and test data sets which involves usually time-consuming visual inspection of medical image data. Recently, crowdsourcing methods have been proposed to gain such large training sets from untrained observers.
Medha Juneja +8 more
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Deep learning with Convolutional Neural Networks (CNN) requires large number of training and test data sets which involves usually time-consuming visual inspection of medical image data. Recently, crowdsourcing methods have been proposed to gain such large training sets from untrained observers.
Medha Juneja +8 more
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An image quality measure for image communication
SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004In this paper, we propose an image quality measure that closely resembles the image quality measure used by the human visual system. In our application, we are more concerned with localized errors due to transmission than the global errors due to compression, and we develop an approach that is appropriate for this purpose.
Mohamed Bingabr +2 more
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Evaluation of image quality in tomographic imaging
Physics in Medicine & Biology, 1977Modulation Transfer Functions (MTF) for tomographic imaging with linear, circular, hypocycloidal and spiral motion are given. They may be determined experimentally from tomographs of slits or line pair test patterns. In some cases calculation of the MTF from the blur pattern by Fourier transformation is possible.
M, Wolf, A, Stargardt, W, Angerstein
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Clinical Physics and Physiological Measurement, 1990
The measurement of image quality is an essential stage in the evaluation of imaging techniques. Yet there is no accepted way of quantitatively assessing image quality. Current theories suggest that the quality of the raw data acquired by the device can be assessed independently from that of the displayed image.
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The measurement of image quality is an essential stage in the evaluation of imaging techniques. Yet there is no accepted way of quantitatively assessing image quality. Current theories suggest that the quality of the raw data acquired by the device can be assessed independently from that of the displayed image.
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Quality Assessment of Deblocked Images
IEEE Transactions on Image Processing, 2011We study the efficiency of deblocking algorithms for improving visual signals degraded by blocking artifacts from compression. Rather than using only the perceptually questionable PSNR, we instead propose a block-sensitive index, named PSNR-B, that produces objective judgments that accord with observations.
Changhoon Yim, Alan Conrad Bovik
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