Swiss scientists have developed perovskite image sensors that triple light capture, sharpen resolution, and outperform traditional silicon.

Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

Wavelet transform is widely recognized as one of the most popular transforms in signal and image processing. It is used in various image processing applications.

In this paper, an image compression algorithm based on the Orthogonal Ramanujan Sums (ORS) is presented. The proposed algorithm is novel in that it combines ORS-based Discrete Wavelet Transform (DWT) ...

computer-vision deep-learning image-processing image-compression dwt watermarking wavelet-transform source-identification Updated on Sep 14, 2022 Python ...

Therefore, image noise reduction processing is necessary to obtain higher-quality images. For the characteristics of its multi-analysis, relativity removal, low entropy, and flexible bases, the ...