This paper propose an alternate approach using L1 norm minimization and robust regularization based on a bilateral prior to deal with different data and noise models.
Collection of Computer Vision algorithms implemented in Matlab. Algorithms: seam carving ("Seam carving for content-aware image processing" by S. Avidan & A. Shamir, 2007) Algorithm and code are described in details http://kirilllykov.github.io/blog
本代码是Real-time O(1) Bilateral Filtering,也就是常数时间复杂度的双边滤波器,它对于很多其他算法有着很大的作用。对应论文就是Real-time O(1) Bilateral Filtering。亲自编译运行通过 (It is the C++ code of Real-time O(1) Bilateral Filtering, that is, constant time complexy bilateral filtering, it is vitally
As single-layer feed-forward neural networks, extreme learning machine (ELM) has recently been used with success for the classification of hyperspectral images (HSIs). However, the results of pure pixel-wise spectral classifiers often appear very noi
A new method based on gray-natural logarithm ratio bilateral filtering is presented for image smoothing in this work. A new gray-natural logarithm ratio range filter kernel, leading to adaptive magnitude from image gray distinction information, is po