University_project_vmd_majorization
Image denoising library
A MATLAB implementation of a variable-model data fusion algorithm for removing noise from images and generating denoised images
使用vmd算法对含有噪声的图像信号进行分解,去除掉噪声信号,将剩余信号合成,得到去噪声图像。分别使用alo、ao、ga、gwo、mpa、spo、woa算法对vmd算法中的参数进行优化,实现快速、准确的完成图像信号的分解。
81 stars
1 watching
8 forks
Language: MATLAB
last commit: almost 2 years ago aogamatlabspovmd
Related projects:
Repository | Description | Stars |
---|---|---|
weitw/imagedenoise | Develops and compares various image denoising algorithms using MATLAB and deep learning | 144 |
nvlabs/snn | An image denoising algorithm implementing a statistical approach to improve traditional methods | 42 |
njusthyk1972/nlh | Software implementing a blind pixel-level non-local method for image denoising using additive Gaussian white noise. | 49 |
cuiyixin555/lmg | A MATLAB implementation of an image deblurring algorithm using local maximum gradient prior | 16 |
siavashbigdeli/dmsp | A MATLAB implementation of an image restoration algorithm based on a deep mean-shift prior | 33 |
aomanhao/matlab-image-dehaze-enhance | An implementation of image dehazing and enhancement techniques in MATLAB | 119 |
suhongjian/matlab-make-blurred-images-clear | A collection of image processing algorithms implemented in MATLAB | 45 |
csjunxu/twsc-eccv2018 | A Matlab implementation of an image denoising scheme based on sparse coding and trilateral weighting. | 91 |
jcollard/unm-hip | A Haskell library for image processing and display | 82 |
jjjkkkjjj/matft | A Numpy-like library in Swift for multi-dimensional array and matrix operations | 135 |
dvlab-research/llmga | An implementation of a multimodal generation assistant using large language models and various image editing techniques. | 463 |
jaiverma/matlab | A collection of MATLAB code examples for various digital image processing tasks. | 37 |
caomw/matlab-forensics | Provides MATLAB implementations of image forensic algorithms for authentication and integrity verification. | 85 |
ysnan/vem-nbd | Provides pre-trained models and benchmark results for noise-blind image deblurring, allowing developers to test and compare different approaches. | 14 |
xiaoyang-rebecca/patternrecognition_matlab | An investigation into feature reduction and classification methods for pattern recognition using various techniques such as PCA, LDA, and SVM. | 71 |