Obtaining high-resolution images in the world of microscopy has long been a challenge. Deconvolution, a method to enhance image clarity, often amplifies noise between the sample and the image.

Abstract: Deblurring camera-based document image is an important task in digital document processing, since it can improve both the accuracy of optical character recognition systems and the visual ...

Deblurring by pixel reassignment remaps raw fluorescent microscopy images to sharpen images via pixel reassignment. Credit: Zhao and Mertz, doi 10.1117/1.AP.5.6.066004. Obtaining high-resolution ...

Improving the spatial resolution of a fluorescence microscope has been an ongoing challenge in the imaging community. To address this challenge, a variety of approaches have been taken, ranging from ...

Deblurring using the Richardson-Lucy algorithm: This only takes a single line of code: deconvolved_RL = restoration.richardson_lucy(blurred_image_cast, psf, num_iter=30) All the code after this is ...

Image Enhancer: This project provides an image enhancement tool that performs the following tasks: Extracts text from black-and-white images using Tesseract OCR. Checks if the image is blurry and ...

When the nuclei of atoms are about to collide in an experiment, their centers never perfectly align along the direction of relative motion. This leads to collisions with complex three-dimensional ...