搜索资源列表
Overview-on-super-resolution
- 图像超分辨率重建可以利用多幅具有互补信息的低分辨率图像重构一幅高分辨率的图像, 该技术已经成 为图像处理领域的研究热点。介绍了图像超分辨率重建的基本原理, 阐述了超分辨率重建技术与其它相关图像处理技 术的关系 系统地总结了图像超分辨率重建中常用的运动估计方法、运算方式和质量评价方法。-Image super-resolution reconstruction can take advantage of complementary information in multiple low-r
CS-KSVDSR
- 实现了基于压缩传感理论的超分辨率图像重构算法-Compressed sensing theory-based super-resolution image reconstruction algorithm
MAP
- 基于map的图像超分辨率的重构算法,用matlab来实现,非常实用-Image super-resolution reconstruction algorithm based on the map, using matlab to achieve very practical
MySR
- 超分辨率图像重构,核心代码稳定,调用接口清晰。-Super-resolution image reconstruction, stable core code, call interface clear.
IBP_SR
- 基于IBP法的超分辨率图像重构。带有实例和注释(日文)。简单易懂,运行良好。欢迎大家学习!-IBP-based super-resolution image reconstruction method. With examples and comments (in Japanese). Easy to understand, running well. Welcome everyone to learn!
single_image_SR
- 基于单张图像的超分辨率重构文章(有别于图像序列的超分辨重构)-single image based super resolution reconstruction
Image-Super-Resolution-Algorithms
- 前基于图像块稀疏表示的超分辨率重构算法对所有图像块都用同一字典表示,不能反映不同类型图 像块问的筹别.针对这一缺点,本文提出基于图像块分类稀疏表示的方法.该方法先利用图像局部特征将图像块分为 平滑、边缘和不规则结构三种类型,其中边缘块细分为多个方向.然后利用稀疏表示方法对边缘和不规则结构块分别 训练各自对应的低分辨率和-岛分辨率字典.重构时对平滑块利用简单双三次插值方法,边缘和不规则结构块由其对应 的高、低分辨率字典通过正交匹配追踪箅法重构.实验结果表明,与单字典稀疏表示算法相比
chaofenbianlv
- 关于超分辨率重构的matlab代码,适合编程参考与应用-About super-resolution reconstruction matlab code for programming reference and application
POCS-SIFT
- 用POCS方法对图像进行超分辨率重构,matlab源码,里面对sifi算法进行了调整修改可以运行-POCS method for image super-resolution reconstruction, matlab source code, which the Sifi algorithm to adjust and modify can run
super-resolution-master
- 超分辨率重构图片,达到将模糊图片复原的效果。-super resolution
SRCNN
- SRCNN超分辨率重构的matlab应用(Matlab application of SRCNN super-resolution reconstruction)
字典学习
- 一种基于KSVD字典学习的多任务超分辨率图像重构方法,主要解决现有方法在高放大因子下重构图像质量下降比较严重的问题(A multi task super-resolution image reconstruction method based on KSVD dictionary learning is mainly used to solve the problem that the quality of image reconstructed by the existing method i
迭代SR
- 使用2幅相位互补的带条纹的低分辨率图片,能重构出一幅该条纹方向提升了两倍分辨率的图(Using 2 complementary striped low resolution images, we can reconstruct a two-fold resolution enhancement super-resolution image at the stripe direction.)