Hybrid Approach for Denoising and Segmentation: N2S with Swin Transformer-Enhanced U-Net
ANIMAL DETECTION IN FEILDS USING IMAGE PROCESSING
Malaria Detection Using Advanced U-Net Deep Learning Model
MULTILEVEL THRESHOLDING USING K-POINT STRATEGY IMPROVED CONVERGENCE BASED WHALE OPTIMIZATION ALGORITHM FOR IMAGE SEGMENTATION
Infrared and Visible Image Fusion Using Contrast and Edge-Preserving Filters with Image Statistics
Attention-Enhanced Deep Learning Model for Parkinson’s Diagnosis
Identification of Volcano Hotspots by using Resilient Back Propagation (RBP) Algorithm Via Satellite Images
Data Hiding in Encrypted Compressed Videos for Privacy Information Protection
Improved Video Watermarking using Discrete Cosine Transform
Contrast Enhancement based Brain Tumour MRI Image Segmentation and Detection with Low Power Consumption
Denoising of Images by Wavelets and Contourlets using Bi-Shrink Filter
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