👉 Inbd is a type of digital image processing technique that involves analyzing and filtering out noise from an input image. It was developed by researchers at the University of California, San Diego (UCSD) to improve the performance of computer vision algorithms. Inbd processes images by first removing or adjusting the noise in the original image, then applying various filters and thresholding techniques to isolate important features. The goal is to enhance the visual quality of the input image while minimizing the amount of noise present.