All Questions

I’m working with X-ray imaging data. I have a reference image containing a structured pattern, and a sample image where this pattern is slightly distorted due to the presence of a physical sample. My ...

I have written code that generates Thue-Morse sequence, its output is a NumPy 2D array containing only 0s and 1s, the height of the array is 2n and the width is n. More specifically, each intermediate ...

I have a 'sparse colour' camera (KAI-4070 chip) which gives images with clear, red, green, and blue filtered pixels arranged in a 4x4 grid (kind of a generalized Bayer matrix) G C R C C G C R B C G C ...

I'm fetching a frame correctly from webcam: success, image = self.video.read() But when I try to change the mode of my frame to grayscale using the following code: gray_image = cv2.cvtColor(image, ...

I'm trying to calibrate the denoiser like this: import numpy as np from skimage.restoration import ( calibrate_denoiser, denoise_tv_chambolle, denoise_invariant, ) # create random noisy ...

I have two RGB images of representing plot of a scalar variable on some geometry. My goal is to find a way to plot the difference of that variable btween the two images and color it with a custom ...

I am working on image processing. Since the input images have different sizes, I will crop them to a fixed size of 700x700. However, some images are slightly smaller than 700x700, so I want to apply ...

I have 2d data which has background noise and assembled high values. I'm trying to apply the TV filter to denoise the data. Is there a suitable method to avoid over-denoising the data? I have tried to ...

I have an image, from which I would like to filter some colors: if a given pixel is in my set of colors, I would like to replace it by a white pixel. With an image called original of shape (height, ...

I'm trying to apply the TV filter to 2D array which includes many nan values: from skimage.restoration import denoise_tv_chambolle import numpy as np data_random = np.random.random ([100,100])*100 ...

I am writing a custom image data loading function to randomly crop part of a large image according to its binary mask. The function will be used in PyTorch dataloader so I want it to be as fast and ...

I have an array with shape (100, 80, 3) which is an rgb image. I have a boolean mask with shape (100, 80). I want each pixel where the mask is True to have value of pix_val = np.array([0.1, 0.2, 0.3])....

Problem I'm working on a Python script to generate images from EXR channel data for a larger project that requires accurate normal pass mappings. The script processes the X, Y, and Z channels from an ...

I have to write a image processing project that uses Homomorphic filtering for low-light image enhancement following this paper https://ieeexplore.ieee.org/document/9088214 So basically I have to log, ...

I have a 3D image with vector components (i.e., a mapping from R3 to R3). My goal is to replace each vector with the vector of maximum norm within its 3x3x3 neighborhood. This task is proving to be ...