Image denoising for magnetic resonance imaging medical images using improved generalized cross‐validation based on the diffusivity function
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22681
Abstract: Various image denoising algorithms have been developed for medical imaging. But some disadvantages have been found, including the block effect, which increases smoothing, and the loss of image detail. Using the statistical properties of observed… read more here.
Keywords: improved generalized; function; diffusivity function; image denoising ... See more keywords
Noises investigations and image denoising in femtosecond stimulated Raman scattering microscopy
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Biophotonics"
DOI: 10.1002/jbio.202100379
Abstract: In the literature of SRS microscopy, the hardware characterization usually remains separate from the image processing. In this article, we consider both these aspects and statistical properties analysis of image noise, which plays the vital… read more here.
Keywords: noise; raman scattering; microscopy; image denoising ... See more keywords
Performance of a deep learning-based CT image denoising method: Generalizability over dose, reconstruction kernel and slice thickness.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.15430
Abstract: PURPOSE Deep learning (DL) is rapidly finding applications in low-dose CT image denoising. While having the potential to improve image quality (IQ) over the filtered back projection method (FBP) and produce images quickly, performance generalizability… read more here.
Keywords: image; image denoising; slice thickness; reconstruction ... See more keywords
Image denoising for real‐time MRI
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26205
Abstract: To develop an image noise filter suitable for MRI in real time (acquisition and display), which preserves small isolated details and efficiently removes background noise without introducing blur, smearing, or patch artifacts. read more here.
Keywords: image; real time; denoising real; image denoising ... See more keywords
Adaptive image denoising based on support vector machine and wavelet description
Sign Up to like & getrecommendations! Published in 2017 at "Optical Review"
DOI: 10.1007/s10043-017-0360-9
Abstract: Adaptive image denoising method decomposes the original image into a series of basic pattern feature images on the basis of wavelet description and constructs the support vector machine regression function to realize the wavelet description… read more here.
Keywords: wavelet description; image; support vector; vector machine ... See more keywords
MAP-based image denoising with structured sparsity and Gaussian scale mixture
Sign Up to like & getrecommendations! Published in 2018 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-018-0692-5
Abstract: Image denoising is a classical problem in image processing and is known to be closely related to sparse coding. In this work, based on the key observation that the probability density function (PDF) of image… read more here.
Keywords: image; scale mixture; sparse; image denoising ... See more keywords
An Image Denoising Technique using Quantum Wavelet Transform
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Theoretical Physics"
DOI: 10.1007/s10773-020-04590-2
Abstract: The amalgamation of ‘Quantum computing’ with image processing represents the various ways of handling images for different purposes. In this paper,an image denoising scheme based on quantum wavelet transform is proposed.A noisy image is embedded… read more here.
Keywords: wavelet coefficients; image; wavelet transform; quantum wavelet ... See more keywords
Two-Stage Image Denoising via an Enhanced Low-Rank Prior
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Scientific Computing"
DOI: 10.1007/s10915-021-01728-0
Abstract: Restoring the image contaminated with heavy noise remains a challenging task. Since the image prior is essential to restoring a high-quality image, this paper proposes a novel two-stage enhanced low-rank prior model (TSLR) for efficient… read more here.
Keywords: image denoising; enhanced low; image; rank prior ... See more keywords
A new compressive sensing based image denoising method using block-matching and sparse representations over learned dictionaries
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6818-3
Abstract: Suppressing noise and preserving detail information such as edges and textures are two key challenges in image denoising. In this paper, a new method for eliminating noise from images is presented which is based on… read more here.
Keywords: compressive sensing; image; method; image denoising ... See more keywords
An adaptive VPDE image denoising model based on structure tensor
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07912-7
Abstract: Image denoising is one of the challenging topics in image processing. Since the formation mechanism of the degraded image is unknown, it is difficult to achieve effective image denoising. Most existing denoising methods are easy… read more here.
Keywords: structure tensor; image; denoising model; image denoising ... See more keywords
Image denoising based on mixed total variation regularization with decision-making scheme
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08531-y
Abstract: The denosing method based on total variation has achieved a remarkable denoising performance. However, it usually generates some staircase effects. To overcome the defect of total variation, a novel image denoising method based on total… read more here.
Keywords: variation; total variation; mixed total; image denoising ... See more keywords