Wavelet Denoising Algorithm Based on NDOA Compressed Sensing for Fluorescence Image of Microarray
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Summary
The experimental results indicate that the expected wavelet coefficients of the noiseless image have been reconstructed with higher quality and the NDOA-optimized method improves the performance of the classical wavelet threshold denoising.
- Type
- article
- Published
- 2019-01-10
- Cited by
- 32
- References
- 28
- Access
- Open access
- OpenAlex
- https://openalex.org/W2909797292
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:61811912
Keywords
Wavelet, Noise reduction, Pattern recognition (psychology), Artificial intelligence, Peak signal-to-noise ratio
References
- Compressed Sensing
- From Denoising to Compressed Sensing
- On compressive sensing applied to radar
- Extensions of compressed sensing
- A new neural network for solving linear and quadratic programming problems
- Image compressed sensing based on wavelet transform in contourlet domain
- Diagnostic applications of microarrays
- Numerical solution for linear and quadratic programming problems using a recurrent neural network
- Microarray Image Denoising Using Complex Gaussian Scale Mixtures of Complex Wavelets
- Real-world performance of a microarray-based rapid diagnostic for Gram-positive bloodstream infections and potential utility for antimicrobial stewardship.
- Structured Compressed Sensing: From Theory to Applications
- On denoising and compression of DNA microarray images
- A New Wavelet Based Image Denoising Method
- Microarray image enhancement by denoising using stationary wavelet transform
- Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach
- A Novel Iterative Method for Computing Generalized Inverse
- Improved processing of microarray data using image reconstruction techniques
- A New Method for Sparse Signal Denoising Based on Compressed Sensing
- Image Denoising Based on Compressed Sensing
- Deep Belief Networks for Quantitative Analysis of a Gold Immunochromatographic Strip
Cited by
- Multilevel Segmentation Optimized by Physical Information for Gridding of Microarray Images
- High noise astronomical image denoising via 2G-bandelet denoising compressed sensing
- A Fully Automated Spot Detection Approach for cDNA Microarray Images Using Adaptive Thresholds and Multi-Resolution Analysis
- Bioinformatics analysis of microarray data to identify the candidate biomarkers of lung adenocarcinoma
- Microarray Data Classification Based on Computational Verb
- Nonlocal Means Image Denoising With Minimum MSE-Based Decay Parameter Adaptation
- Compressed sensing for high-noise astronomical image recovery
- cDNA Microarray Image Enhancement for Effective Gridding of Spots
- Damage assessments of composite under the environment with strong noise based on synchrosqueezing wavelet transform and stack autoencoder algorithm
- An Autoencoder based Technique for DNA Microarray Image Denoising
- Real-Time Ultrasound Image Despeckling Using Mixed-Attention Mechanism Based Residual UNet
- Wavelet-based cancer drug recommender system
- A case study on computer-aided diagnosis of nonerosive reflux disease using deep learning techniques
- Identifification of Key Genes Involved in Colorectal Cancer: A Bioinformatics Analysis
- An Ultrasonic Signal Denoising Method for EMU Wheel Trackside Fault Diagnosis System Based on Improved Threshold Function
- Determining Decomposition Levels for Wavelet Denoising Using Sparsity Plot
- Identification of Shared Genes and Pathways in Periodontitis and Type 2 Diabetes by Bioinformatics Analysis
- Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique
- A Wavelet Transform-Based Real-Time Filtering Algorithm for Fusion Magnet Power Signals and Its Implementation
- Microarray image enhancement techniques by denoising: Current status and future directions
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