About this document
KNN-Based Image Denoising Method by Babiez_Popok_7016 is a document available to read on EtoBox.
The document describes an image restoration method that uses a k-nearest neighbors (kNN) approach to estimate the conditional entropy of pixels given their neighborhoods. This conditional entropy is then minimized to perform denoising. The kNN method allows for adaptive density estimation without explicitly estimating the probability density function. It overcomes issues with Parzen window density estimation for high-dimensional image patches, such as oversmoothing due to the need for a wide window. Experim
- Author
- Babiez_Popok_7016
- Language
- EN