Tag: SSIM

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 ...

Researchers have used conditional generative diffusion models to complete truncated X-ray projection data, substantially reducing artifacts in cone-beam CT reconstructions.

A new generative adversarial network called SR2-GAN significantly improves multi-step radar rainfall nowcasting, cutting prediction error by up to 44.4 ...

Researchers combined five pretrained CNN architectures in a bagging ensemble to generate richer, more faithful Deep Dream images, achieving a ...