他们在频域残差法(Spectral Residual)的基础上提出相位谱(Phase Spectrum)方法。 Chenlei Guo, Qi Ma, Liming Zhang: S…blog.csdn.net|基于12个网页 2. 频谱冗余 //频谱冗余(spectral residual) Residual = cvCreateImage(cvGetSize(src), IPL_DEPTH_64F, 1); //特征map(Saliency map…www.cnblogs.com|基于...
SR (Spectral Residual) SR实际上是从计算机视觉中显著性检验中迁移过来的,是在《Saliency Detection: A Spectral Residual Approach》首次提出。简单来说作者通过大量的计算发现,大量的图片做均值之后的log频谱趋近于一条直线,那么一张图片的log频谱减去平均图片的log频谱就是显著部分,左差之后可以通过反傅里叶变换复原...
Figure1 中的log-log Spectrum可以看出上述问题,因此选用log spectrum进行代替。 2.From spectral residual to saliency map 因此图像的冗余部分的信息可以如下表示 H(\mathcal R(f))=H(\mathcal L(f)|\mathcal A(f))\tag{9} 其中\mathcal L(f)=log(\mathcal A(f)),\mathcal R(f)表示新奇的部分(...
Spectral residual methodNon-monotone line searchIn this paper, the spectral algorithm for nonlinear equations (SANE) is adapted to the problem of finding a zero of a given tangent vector field on a Riemannian manifold. The generalized version of SANE uses, in a systematic way, the tangent ...
1 简介 SR(Spectral Residual,剩余谱)模型独立于对象的特征,类别或其他形式的先验知识。通过分析输入图像的对数谱,可以在空间域中获取输入图像的剩余谱,进而用快速的方法在空间域中构造相关的显著性图。模型在自然图像和艺术图像的测试结果表明该方法具有计算效率高且鲁棒性好的特点[1]。 论文指出,图像的信息是由...
原文链接:显著性检测 Saliency Detection: A Spectral Residual Approach 图像显著性检测 Saliency Detection A Spectral Residual Approach 原理:原理:我们一般把图像分为目标和背景,传统的显著性模型是提取目标的特定特征,这样的方法就决定了目标种类的特定性,也就导致了这种方法的局限性。一般认为视觉注意机制分为两个阶...
We present a derivative-free method for solving systems of nonlinear equations that belongs to the class of spectral residual methods. We will show that by endowing a previous version of the algorithm with a suitable new linesearch strategy, standard global convergence results can be attained under...
To meet real-time requirements, in this paper, we propose a novel fast and effective IQA index, namely spectral residual based similarity (SR-SIM), based on a specific visual saliency model, spectral residual visual saliency. SR-SIM is designed based on the hypothesis that an image's visual...
By analyzing the log-spectrum of an input image, we extract the spectral residual of an image in spectral domain, and propose a fast method to construct the corresponding saliency map in spatial domain. We test this model on both natural pictures and artificial images such as psychological ...
论文链接:Sci-Hub | Spectral Partitioning Residual Network With Spatial Attention Mechanism for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 1–14 | 10.1109/tgrs.2021.3074196 Motivation 在进行PCA等降维方法时,HSI的辨别谱信息可能会丢失。光谱划分(SP)是一种替代策略,...