{"version":"1.0","type":"rich","title":"Gist f8ef22f4884653740625923059e1acfb","description":"This example processes brain scan sprite images for use in a web-based visualization. It loads PNG files from a local directory, replaces pure black pixels with white, and then applies histogram equalization and autocontrast using Pillow’s `ImageOps` and `ImageEnhance`. The cleaned images are saved to a new path, with the code iterating over a list of subject IDs read from a text file via `np.genfromtxt`. It reports completion or errors for each subject, demonstrating a batch image-preprocessing pipeline for preparing neuroimaging data.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-f8ef22f4884653740625923059e1acfb?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}