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Waving Goodbye to Low-Res: A Diffusion-Wavelet Approach for Image Super-Resolution
[article]
2023
arXiv
pre-print
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This paper presents a novel Diffusion-Wavelet (DiWa) approach for Single-Image Super-Resolution (SISR). ...
It leverages the strengths of Denoising Diffusion Probabilistic Models (DDPMs) and Discrete Wavelet Transformation (DWT). ...
Acknowledgment This work was supported by the BMBF project XAINES (Grant 01IW20005) and by Carl Zeiss Foundation through the Sustainable Embedded AI project (P2021-02-009). ...
arXiv:2304.01994v2
fatcat:nitl26wzt5ez7bbpfaplhh67bu
Analysis of Multi Resolution Image Denoising Scheme using Fractal Transform
2010
The International Journal of Multimedia & Its Applications
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Noise can occur during image capture, transmission or processing, and may be dependent on or independent of image content. This work proposes a novel algorithm which reduces noise in colour images. ...
For communication and storage efficiency, image data should be substantially Compressed. The compression ratio is limited by noise, which degrades the correlation between pixels. ...
Fractal Image Denoising In [12] , a simple and effective fractal-based strategy for smoothing noisy images in the pixel as well as the wavelet domains of the noisy image was proposed. ...
doi:10.5121/ijma.2010.2305
fatcat:b4xxrthufjfyzeixj7ikvhjvui
Boosting Diffusion Models with Moving Average Sampling in Frequency Domain
[article]
2024
arXiv
pre-print
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Diffusion models have recently brought a powerful revolution in image generation. ...
We name the complete approach "Moving Average Sampling in Frequency domain (MASF)". MASF could be seamlessly integrated into mainstream pre-trained diffusion models and sampling schedules. ...
Considering that the denoising network is fed with samples in image space, we convert the moving average in frequency domain (x t f ) back to image domain via Inverse DWT (IDWT) at each timestep. ...
arXiv:2403.17870v1
fatcat:aptx7aoae5cv3izs4xuik6rvgq
Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images
2006
IEEE Transactions on Medical Imaging
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Index Terms-Dyadic wavelet transform, iterative denoising, multiscale analysis, nonlinear diffusion, speckle suppression, ultrasound imaging, wavelet diffusion. ...
This paper introduces a novel nonlinear multiscale wavelet diffusion method for ultrasound speckle suppression and edge enhancement. ...
In our approach, speckle image is iteratively filtered by the nonlinear diffusivity function via the framework of the dyadic wavelet transform. ...
doi:10.1109/tmi.2005.862737
pmid:16524086
fatcat:g62jniqlnjdspixwjyq32vqnyi
An Underwater Image Enhancement via Wavelet domain Gradient Guided Filter
2018
International Journal of Engineering & Technology
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Finally, image is well enhanced via wavelet domain gradient guided filter. The projected technique intends to raise perceptual visibility, keep extra texture information as well lower noise effect. ...
Existing approaches enhance pictures but frequently undergo noise issue; this paper presents a hybrid method for solving mage enhancing difficulty in frequency domain. ...
A hybrid underwater image enhancement via wavelet domain gradient guided filter is presented. ...
doi:10.14419/ijet.v7i4.38.27614
fatcat:otof3jfprbbbjhk6xkvgm6hjti
Spectral Motion Alignment for Video Motion Transfer using Diffusion Models
[article]
2024
arXiv
pre-print
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To address this, we present Spectral Motion Alignment (SMA), a novel framework that refines and aligns motion vectors using Fourier and wavelet transforms. ...
The evolution of diffusion models has greatly impacted video generation and understanding. ...
To sum up, we encourage accurate motion transfer via harmonized global and local levels of frequency-domain regularization. ...
arXiv:2403.15249v1
fatcat:lkhd3gj3eba7bebb7taohjxpu4
An evaluation of image denoising techniques applied to CT baggage screening imagery
2013
2013 IEEE International Conference on Industrial Technology (ICIT)
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The performance of a dedicated CT baggage denoising approach (alpha-weighted mean separation and histogram equalisation) is compared to the following popular denoising techniques: anisotropic diffusion ...
; total variation denoising; bilateral filtering; translation invariant wavelet shrinkage and non-local means filtering. ...
[30] show that due to the lack of translation invariance of the wavelet basis, traditional wavelet denoising via thresholding, leads to visual artefacts in the denoised image. ...
doi:10.1109/icit.2013.6505819
fatcat:z4vftllac5ex7mp73zinoxdvz4
Edge-preserving wavelet thresholding for image denoising
2007
Journal of Computational and Applied Mathematics
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In this paper we consider a general setting for wavelet based image denoising methods. ...
during the wavelet denoising process. ...
, such as edges and homogeneous regions (Fig. 5) . ...
doi:10.1016/j.cam.2006.10.069
fatcat:lznwnv42cjedzdsj3cz4ddkfku
Weighted Non-Linear Diffusion Filtering with Wavelet Thresholding in Image Denoising
2013
International Journal of Computer Applications
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In this paper, a new adaptive wavelet based image denoising algorithm in the presence of Gaussian noise is developed. ...
In the first phase, an adaptive data driven threshold for image denoising via wavelet soft-thresholding is applied on detail coefficients. ...
Initially, wavelet thresholding was a very effective and popular method in image denoising. ...
doi:10.5120/13588-1318
fatcat:w3oq6qn7ozdcbj5wri6yjrdz7y
Unbiased-average minimum biased diffusion speckle denoising approach for synthetic aperture radar images
2015
Journal of Applied Remote Sensing
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Experimental results for both artificial images and real SAR images are used to validate the performance of the proposed unbiased-average MinBAD speckle reducing approach. © The Authors. ...
Besides the equivalent number of looks and edge preserving index, a new index, radiation accuracy error, is defined to evaluate the denoising effect. ...
s real spotlight SAR images and Airbus Defense and Space for the highspot TerraSAR image. This work is supported by the National Science Fund of China (61301187 and 61328103). ...
doi:10.1117/1.jrs.9.095081
fatcat:gthridgbtbapnb53yzdw4zs3tm
LDM-ISP: Enhancing Neural ISP for Low Light with Latent Diffusion Models
[article]
2024
arXiv
pre-print
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Enhancing a low-light noisy RAW image into a well-exposed and clean sRGB image is a significant challenge for modern digital cameras. ...
Specifically, to tailor the pre-trained latent diffusion model to operate on the RAW domain, we train a set of lightweight taming modules to inject the RAW information into the diffusion denoising process ...
To address the challenge of the domain ambiguity issue in simultaneous denoising and ISP, Jin et al. [11] propose a method DNF to tackle denoising and ISP tasks in separate stages. ...
arXiv:2312.01027v3
fatcat:qjdpuwovw5g2deivtuoi2dajp4
WaveDM: Wavelet-Based Diffusion Models for Image Restoration
[article]
2024
arXiv
pre-print
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To tackle it, this paper proposes a Wavelet-Based Diffusion Model (WaveDM). ...
WaveDM learns the distribution of clean images in the wavelet domain conditioned on the wavelet spectrum of degraded images after wavelet transform, which is more time-saving in each step of sampling than ...
x 0 = FWPT 2D (X 0 ). ( 16 ) Instead of adopting a naive diffusion approach in the wavelet domain, which directly corrupts all wavelet bands of the clean image using additive Gaussian noise and then reversing ...
arXiv:2305.13819v2
fatcat:45j7posl5nbpfgio5mu22f3cte
Wavelet Diffusion Models are fast and scalable Image Generators
[article]
2023
arXiv
pre-print
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2022 pre-print arXiv:2211.16152v1 fatcat:cnbir6ya2fe23nfihsxijkr7ui
We extract low-and-high frequency components from both image and feature levels via wavelet decomposition and adaptively handle these components for faster processing while maintaining good generation ...
This paper aims to reduce the speed gap by proposing a novel wavelet-based diffusion scheme. ...
After a few sampling steps as defined, we acquire the estimated denoised subbands y 0 . The final image can be recovered via wavelet inverse transformation x 0 = IWT(y 0 ). ...
arXiv:2211.16152v2
fatcat:5icn3zsx7bbg3d2xnardaz57ra
WaveFace: Authentic Face Restoration with Efficient Frequency Recovery
[article]
2024
arXiv
pre-print
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In this work, we propose WaveFace to solve the problems in the frequency domain, where low- and high-frequency components decomposed by wavelet transformation are considered individually to maximize authenticity ...
Although diffusion models are rising as a powerful solution for blind face restoration, they are criticized for two problems: 1) slow training and inference speed, and 2) failure in preserving identity ...
First, degraded images are mapped to the frequency domain via Discrete Wavelet Transformation (DWT) (Sec. 3). ...
arXiv:2403.12760v1
fatcat:favgpekvgna5xmypgruxgxk5fa
Denoising of DT-MR Images with an Iterative PCA
2015
Procedia Computer Science
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Noise in DT-MR Images make fibre tracking and disease diagnosing tougher. So our work aims to denoise the Diffusion Tensor MR images with better visual quality. ...
In this paper, we propose a denoising technique that uses Structural Similarity Index Matrix (SSIM) for grouping similar patches and performs Iterative Principal Component Analysis on each group. ...
M.R Kaimal, Chairman, Department of Computer Science, for his valuable suggestions and also to Dr. Kesavadas, Associate Professor, SCTIMST for his guidance and support. Our special thanks to Mrs. ...
doi:10.1016/j.procs.2015.08.079
fatcat:dptqhcgwt5h23a6qos5oh5tdca
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