Image Transformation with OpenCV and NumPy

Color Space: RGB2BGR, RGB2GRAY import cv2 import numpy as np def iminvert(img): """Invert (negate) an image Args: img (ndarray): Image to be inverted. Returns: ndarray: The inverted image. """ return np.full_like(img, 255) - img BGR2GRAY and GRAY2BGR with OpenCV def bgr2gray(img, keepdim=False): ""...

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Common Datasets for Image Super-Resolution

Image Super Resolution Task Single image super-resolution (SISR) is a notoriously challenging ill-posed problem, because a specific low-resolution (LR) input can correspond to a crop of possible high-resolution (HR) images, and the HR space (in most instances it refers to the nature image space) that we intend to map the LR input to is usually ...

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Image Inpainting: From PatchMatch to Pluralistic

Traditional PatchMatch A Randomized Correspondence Algorithm for Structural Image Editing - SIGGRAPH 2009 This paper presents interactive image editing tools using a new randomized algorithm for quickly finding approximate nearest-neighbor matches between image patches. Previous research in graphics and vision has leveraged such nearest-neig...

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