Results 221 to 230 of about 130,810 (263)
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Contribution to Image and Contours Restoration
Real-Time Imaging, 2001Summary: Digital images are generally degraded by different sources during their acquisition. This is due of two types of phenomena: the deterministic phenomenon of blur which is introduced by relative motion between a camera and the object, and the stochastic phenomena such as atmospheric turbulence, noise and other factors.
Achour, K., Zenati, N., Laga, H.
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Image restoration in radioisotopic imaging systems
Physics in Medicine & Biology, 1967In radioisotope image visualization, the final image must be interpreted by the human visual system. However, an inherent blurring of the image limits the amount of useful information which can be extracted from it. Attempts have been made to restore the image by compensating for the degradation.
T A, Iinuma, T, Nagai
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WAVELET-CONSTRAINED IMAGE RESTORATION
International Journal of Wavelets, Multiresolution and Information Processing, 2004Image restoration problems can naturally be cast as constrained convex programming problems in which the constraints arise from a priori information and the observation of signals physically related to the image to be recovered. In this paper, the focus is placed on the construction of constraints based on wavelet representations.
Patrick L. Combettes +1 more
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Limitations of ultrasound imaging and image restoration
Ultrasonics, 1987The definition of medical ultrasound images is strongly limited by the need for low examination frequencies which is imposed by the high attenuation of acoustic waves in tissues. The filtering effect of imaging systems is described and quantified for echography, transmission tomography and reflection tomography.
A, Herment +4 more
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General restoration filter for vibrated-image restoration
Applied Optics, 1998Mechanical vibrations are often the principal cause of image degradation. Low temporal-frequency mechanical vibrations involve random image degradation that depends on the instant of exposure. Exact restoration requires the calculation of a specific filter unique to each vibrated image.
A, Stern, N S, Kopeika
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Space-Variant Image Restoration
1997Publisher Summary This chapter offers information on space-variant image restoration. The inhomogeneity assumption introduced in this chapter allows the edges to be directly taken into account by the image model. A stochastic image-generating process is so obtained describing the gray level discontinuities by a space-varying model, where only the ...
De Santis, GERMANI, Alfredo, Jetto L.
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Image enhancement and restoration
1975The aim of collecting data is to gain meaningful information about a phenomenon of interest. Unfortunately, often the phenomenon is not a direct physical observable. Instead, e.g., the data at hand may be a linear superposition of the desired quantities.
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Journal of Statistical Planning and Inference, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chan, A., Meloche, J.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chan, A., Meloche, J.
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Digital image restoration: A survey
Computer, 1974The state of the art in large-scale digital computers has recently opened the way for high resolution image processing by digital techniques. With the increasing availability of digital image input/output devices it is becoming quite feasible for the average computing facility to embark upon high-quality image restoration and enhancement.
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A survey of deep learning approaches to image restoration
Neurocomputing, 2022Jingwen Su, Hujun Yin, Boyan Xu
exaly

