PCA-Based Detection of Copy-Move Forgery Regions in Images

Utilizing Principal Component Analysis to detect copy-move forgery regions in digital images with effective detection performance. The implementation involves feature extraction, dimensionality reduction, and similarity matching algorithms.

SUN: A Bayesian Detection Framework for Visual Saliency Using Natural Statistics

SUN: A Bayesian framework for visual saliency detection leveraging natural scene statistics. This bottom-up approach identifies salient regions in images through probabilistic inference and statistical priors, with implementations typically involving likelihood computation, prior probability models, and Bayesian posterior estimation.

Histogram Bus Distance Detection for Comparing Two Images

The comparehist function calculates the histogram bus distance between two images for similarity comparison. xuefu employs the C-means clustering algorithm for color-based image segmentation, while ccv extracts color coherence vectors from clothing images to facilitate subsequent feature value operations.