Tag: SSIM

A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among visual ...

Researchers report a deep learning framework called ShearFocusNet that denoises low-dose CT images by combining Shearlet-based directional perception with spatial ...

Researchers have developed an anisotropic diffusion algorithm that reconstructs missing image regions by steering diffusion along edges, extending from binary ...

Researchers propose SteRGAN, a GAN-based image steganography framework that achieves PSNR values above 41 dB on ImageNet and Microsoft COCO.

A hybrid particle swarm and evolutionary optimization algorithm uses multilevel thresholding to isolate green maize seedlings from complex field backgrounds ...

Researchers in Naples have developed EDOKS, a transparent image similarity metric that combines Earth Mover's Distance texture analysis with Oklab ...

Korean researchers have built a hybrid Vision Transformer and CNN generative model that enhances ultrasound image quality with state-of-the-art fidelity ...

Researchers have developed an image steganography method that uses XORShift64 random pixel selection and three-bit-per-pixel embedding to hide secret messages ...

Researchers at Boğaziçi University have developed a CycleGAN-based deep learning model with residual dense blocks and attention modules that significantly ...

Researchers have built a hybrid quantum-classical deep learning model that uses variational quantum circuits and a statistical image prior to ...