Some noiseless data compression methods are introduced in this paper. By using these methods, we compress Chinese character patterns to save storage space. Since quality is very important for Chinese Character pattern...
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作者:
Mammone, R.J.Podilchuk, C.I.Rutgers
The State University Department of Electrical and Computer Engineering P. O. Box 909 PiscatawayNJ08854 United States
A general iterative method of restoring linearly degraded images has been introduced recently [J. Opt. Soc. Amer., 4, 208-215 (1987)3. In this paper, the general method is reformulated into a more tractable fixed poin...
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In the previous paper, the techniques of dual-mode coding were introduced. One of the techniques uses the two-dimensional delta modulation to code the image pixels. In this scheme, the predictor is switched Letween th...
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This paper describes a modified Given's rotation algorithm and pipelined architecture for solving linear system equations A x = b. We have shown that this algorithm can be implemented with a trapezoidal type array...
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A nonlinear, nonrecursive, two-dimensional filter has been developed for edge-preserving noise smoothing of images. It can also be beneficial as a pre-processor for data compression purposes. The filter is applied ove...
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The ever higher quality and wide diffusion of fake images have spawn a quest for reliable forensic tools. Many GAN image detectors have been proposed, recently. In real world scenarios, however, most of them show limi...
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ISBN:
(纸本)9781728185514
The ever higher quality and wide diffusion of fake images have spawn a quest for reliable forensic tools. Many GAN image detectors have been proposed, recently. In real world scenarios, however, most of them show limited robustness and generalization ability. Moreover, they often rely on side information not available at test time, that is, they are not universal. We investigate these problems and propose a new GAN image detector based on a limited sub-sampling architecture and a suitable contrastive learning paradigm. Experiments carried out in challenging conditions prove the proposed method to be a first step towards universal GAN image detection, ensuring also good robustness to common image impairments, and good generalization to unseen architectures.
A simplified adaptive linear predictive coding scheme is proposed in this paper for video applications. The leastabsolute-value (L1) and the least-squares (L2) criteria are considered. The scheme uses a vector formula...
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Vector quantization is a new coding technique which has enjoyed much success in its brief history. Its most attractive features are a high compression ratio and a simple decoder. Thus, it shows great promise in applic...
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Swift recognition of grey scale images transmitted through low bandwidth channels has been demonstrated by various progressive techniques in which a series of gradually refined image approximations are received and di...
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Recursive image filters are computationally more efficient than nonrecursive ones. The phase of recursive filters is normally nonlinear, but it can become linear (actually zero) by the use of multidirectional filterin...
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