Results 31 to 40 of about 39,050 (216)
Image Denoising Using Hybrid Transforms [PDF]
Engineering and Technology Journal, 2007 In this paper a new family of transformation for image denoising ispresented, Multiridgelet and Walidlet transforms, which have been proposedas alternatives to Discrete Wavelet and Multiwavelet transforms.Walidlet transform is an intelligent tool for ...
Walid Mahmoud, Raghad Jassim
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Multispinning for Image Denoising
Journal of Intelligent Systems, 2012 The problem of reconstructing digital images from degraded measurements is regarded as a problem of importance in various fields of engineering and imaging science. The main goal of denoising is to restore a noisy image to produce a visually high quality image.
K. V. Suresh, B. N. Aravind
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Optimal Combination of Image Denoisers
IEEE Transactions on Image Processing, 2019 Given a set of image denoisers, each having a different denoising capability, is there a provably optimal way of combining these denoisers to produce an overall better result? An answer to this question is fundamental to designing an ensemble of weak estimators for complex scenes.
Joon Hee Choi +2 more
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Deep Orthogonal Transform Feature for Image Denoising
IEEE Access, 2020 Recently, CNN-based image denoising has been investigated and shows better performance than conventional vision based techniques. However, there are still a couple of limits that are weak partly in restoring image details like textured regions or produce
Yoon-Ho Shin +3 more
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EURASIP Journal on Wireless Communications and Networking, 2021 As an important part of smart city construction, traffic image denoising has been studied widely. Image denoising technique can enhance the performance of segmentation and recognition model and improve the accuracy of segmentation and recognition results.
Chunzhi Wang +4 more
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RESIDUAL LEARNING BASED IMAGE DENOISING AND COMPRESSION USING DNCNN
ICTACT Journal on Image and Video Processing, 2022 Image compression has become an essential subfield in image processing for many generations. This should be an effective process with decreasing this amount about a file format through frames unless significantly lowering from an exceptional standard ...
Savaram Shaliniswetha +1 more
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Image Denoising Algorithm Based on Gradient Domain Guided Filtering and NSST
IEEE Access, 2023 Traditional image denoising methods, which do not depend on data training, have good interpretability. However, traditional image denoising methods hardly achieve the denoising effect of deep learning methods.
Zhe Li +3 more
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Quantum Boolean image denoising [PDF]
Quantum Information Processing, 2014 A quantum Boolean image processing methodology is presented in this work, with special emphasis in image denoising. A new approach for internal image representation is outlined together with two new interfaces: classical-to-quantum and quantum-to-classical.
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True 4D Image Denoising on the GPU
International Journal of Biomedical Imaging, 2011 The use of image denoising techniques is an important part of many medical imaging applications. One common application is to improve the image quality of low-dose (noisy) computed tomography (CT) data.
Anders Eklund +2 more
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