图像像素亮度值之差为非高斯-马尔可夫模型的实现

资 源 简 介

是What makes a good model of natural images ? (Yair Weiss and William T. Freeman ) CVPR2007 的matlab源码.是对图像像素亮度值之差为非高斯-马尔可夫模型的实现，以及以该模型为基础的应用.

详 情 说 明

In the paper "What makes a good model of natural images?" presented at CVPR2007, Yair Weiss and William T. Freeman discuss their implementation of a non-Gaussian Markov model based on the difference in brightness values between pixels in an image. This model has several applications, such as image denoising and inpainting, which rely on the model's ability to capture the statistical properties of natural images. The implementation of this model in MATLAB source code can be found in the paper, allowing researchers to explore and build upon their work. Additionally, the authors further discuss the limitations of their model and suggest potential areas for future research and improvement.