Howtosignalprocessing
What is total variation in image processing?
Total Variation (TV) regularization has evolved from an image denoising method for images corrupted with Gaussian noise into a more general technique for inverse problems such as deblurring, blind deconvolution, and inpainting, which also encompasses the Impulse, Poisson, Speckle, and mixed noise models.
What is total variation loss?
Total variation loss is the sum of the absolute differences for neighboring pixel-values in the input images. This measures how much noise is in the images.
