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Image Blind sentence examples within Digital Image Blind
To maintain a trade-off between robustness and imperceptibility, as well as secure transmission of digital images over communication channels, a digital image blind watermarking scheme on the basis of adaptive neuro-fuzzy inference system (ANFIS) is proposed in this study.
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Blind forensics of JPEG image tampering as a kind of digital image blind forensics technology is gradually becoming a new research hotspot in the field of image security.
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Image Blind sentence examples within Single Image Blind
Single image blind motion deblurring refers to transferring a blurred motion image into a corresponding clear image, which is a challenging and classic problem in the field of computer vision.
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In this paper, we propose a novel variational method for single image blind deblurring based on the fractional-order differential, which can overcome the staircase effect produced by the total variation regularization and alleviate the ringing artifact in deblurring.
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Image Blind sentence examples within Color Image Blind
Then this paper proposes a color image blind digital watermarking algorithm based on QR code.
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Image Blind sentence examples within image blind deblurring
In order to improve the performance of image deblurring algorithm by increasing the receptive field, an image blind deblurring algorithm based on deep multi-level wavelet transform is proposed.
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Based on similarity images, a nonlocal natural image before the regular term is proposed to deal with the single-image blind deblurring problem.
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Image Blind sentence examples within image blind denoising
Image Blind sentence examples within image blind deconvolution
This paper deals with the problem of image blind deconvolution in presence of Cauchy noise, a type of non-Gaussian, impulsive degradation which frequently appears in engineering and biomedical applications.
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However, the previous multi-image blind deconvolution methods are prone to inconsistencies between observations such as moving objects, illumination change or mis-alignment.
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Image Blind sentence examples within image blind digital
In order to improve the performance of image deblurring algorithm by increasing the receptive field, an image blind deblurring algorithm based on deep multi-level wavelet transform is proposed.
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A color image blind digital watermarking algorithm based on QR code is proposed.
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Based on similarity images, a nonlocal natural image before the regular term is proposed to deal with the single-image blind deblurring problem.
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In addition, we reconstruct the secret color image by inputting the stego images passing on the decoder which accomplish the secret image blind extraction.
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In this paper, active joint prior learning (JPL) is proposed for real‐world ISAR image blind denoising.
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Single image blind motion deblurring refers to transferring a blurred motion image into a corresponding clear image, which is a challenging and classic problem in the field of computer vision.
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To improve the image quality of the deblurring results restored by existing blind deblurring method, an effective image blind deblurring method based on a single channel and L1-norm is proposed for the blurry images.
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METHODS
We proposed a novel end-to-end framework named automatic consecutive context perceived transformer GAN (ACCP-GAN) for fully automatic serial sectioning image blind inpainting.
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Then this paper proposes a color image blind digital watermarking algorithm based on QR code.
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Recently, deep convolutional learning has been applied to image deblurring, which greatly improves the performance of single-image blind deblurring algorithms.
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To maintain a trade-off between robustness and imperceptibility, as well as secure transmission of digital images over communication channels, a digital image blind watermarking scheme on the basis of adaptive neuro-fuzzy inference system (ANFIS) is proposed in this study.
Full Text
Blind forensics of JPEG image tampering as a kind of digital image blind forensics technology is gradually becoming a new research hotspot in the field of image security.
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In this paper, we present an end-to-end method for image blind denoising based on a conditional generative adversarial network (GAN).
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Most of the existing single-image blind deblurring methods are tailored for natural images.
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For on-orbit image denoising, we propose an end-to-end trainable image blind denoising network, namely IBDNet.
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In this paper, we propose a novel variational method for single image blind deblurring based on the fractional-order differential, which can overcome the staircase effect produced by the total variation regularization and alleviate the ringing artifact in deblurring.
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This paper aims to propose a candidate solution to the challenging task of single-image blind super-resolution (SR), via extensively exploring the potentials of learning-based SR schemes in the lit.
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This paper deals with the problem of image blind deconvolution in presence of Cauchy noise, a type of non-Gaussian, impulsive degradation which frequently appears in engineering and biomedical applications.
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However, the previous multi-image blind deconvolution methods are prone to inconsistencies between observations such as moving objects, illumination change or mis-alignment.
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