October 22, 2013
Comments Off on Hyperspectral Image Representation and Processing With Binary Partition Trees
Posted in: Final year projects
Abstract : The work presented here proposes a new Binary Partition Tree pruning strategy aimed at the segmentation of hyperspectral images. The BPT is a region-based representation of images that involves a reduced number of elementary primitives and therefore allows to design a robust and efficient segmentation algorithm. Here, the regions contained in the BPT […]
October 22, 2013
Comments Off on Image Noise Level Estimation by Principal Component Analysis
Posted in: Final year projects
Abstract The problem of blind noise level estimation arises in many image processing applications, such as denoising, compression, and segmentation. In this paper, we propose a new noise level estimation method on the basis of principal component analysis of image blocks. We show that the noise variance can be estimated as the smallest eigenvalue of […]