Proceedings ArticleDOI
A Fast Denoising Algorithm for X-Ray Images with Variance Stabilizing Transform
Nguyen Hoang Hai,Dang N. H. Thanh,Nguyen Ngoc Hien,Chinthaka Premachandra,V. B. Surya Prasath +4 more
- pp 8919364
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TLDR
A fast denoising algorithm for X-Ray images with variance stabilizing transformations based on the alternative direction method of multipliers that outperforms other similar denoizing methods.Abstract:
We propose a fast denoising algorithm for X-Ray images with variance stabilizing transformations. The variance stabilizing transformations are used to transform Poisson noisy images to Gaussian noisy images. Therefore, we can utilize advantages of the fast denoising algorithm based on the alternative direction method of multipliers. In experiments, we evaluate denoising quality by the Peak signal-to-noise ratio and the Structure Similarity metrics. Comparing results show that our method outperforms other similar denoising methods.read more
Citations
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Journal ArticleDOI
A Two-Stage Filter for High Density Salt and Pepper Denoising
Dang N. H. Thanh,Nguyen Hoang Hai,Le Minh Hieu,V. B. Surya Prasath,João Manuel R. S. Tavares +4 more
TL;DR: A two-stage filter to remove high-density salt-and-pepper noise on images using the peak signal-to-noise ratio and structural similarity metric to prove its effectiveness for salt and pepper noise removal.
A Variational Method to Remove the Combination of Poisson and Gaussian Noises
Dang N. H. Thanh,S. D. Dvoenko +1 more
TL;DR: In this paper, the authors proposed a method to remove noise in digital images based on the wellknown variational approach, which consists in removing of mixed PoissonGaussian noise.
Journal ArticleDOI
A study on hovering control of small aerial robot by sensing existing floor features
TL;DR: This study tackles the self-position estimation problem by mounting a small downward-facing camera on the chassis of an aerial robot with real-time tile corner detection and obtains robot position by sensing the features on the indoor floor.
Book ChapterDOI
Adaptive Thresholding Skin Lesion Segmentation with Gabor Filters and Principal Component Analysis
TL;DR: An adaptive thresholding segmentation method for dermoscopic images with Gabor filters and Principal Component Analysis is proposed and compared to other similar methods to prove its own effectiveness.
Journal ArticleDOI
A novel method based on Wiener filter for denoising Poisson noise from medical X-Ray images
TL;DR: In this paper , a novel method that removes Poisson noise from medical X-ray images is proposed by overcoming the above mentioned disadvantages such as excessive smoothing of the image, distorting the texture information, reducing the image quality and high computational cost.
References
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Nonlinear total variation based noise removal algorithms
TL;DR: In this article, a constrained optimization type of numerical algorithm for removing noise from images is presented, where the total variation of the image is minimized subject to constraints involving the statistics of the noise.
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The Split Bregman Method for L1-Regularized Problems
Tom Goldstein,Stanley Osher +1 more
TL;DR: This paper proposes a “split Bregman” method, which can solve a very broad class of L1-regularized problems, and applies this technique to the Rudin-Osher-Fatemi functional for image denoising and to a compressed sensing problem that arises in magnetic resonance imaging.
Journal ArticleDOI
Histopathological Image Analysis: A Review
TL;DR: The recent state of the art CAD technology for digitized histopathology is reviewed and the development and application of novel image analysis technology for a few specific histopathological related problems being pursued in the United States and Europe are described.