.png){kind=icon}
返回
Spatially Adaptive Block-Based Super-Resolution
.png){kind=icon}
PRE
AI
DOI：10.1109/TIP.2011.2166971.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Super-resolution technology provides an effective way to increase image resolution by incorporating additional information from successive input images or training samples. Various super-resolution algorithms have been proposed based on different assumptions, and their relative performances can differ in regions of different characteristics within a single image. Based on this observation, an adaptive algorithm is proposed in this paper to integrate a higher level image classification task and a lower level super-resolution process, in which we incorporate reconstruction-based super-resolution algorithms, single-image enhancement, and image/video classification into a single comprehensive framework. The target high-resolution image plane is divided into adaptive-sized blocks, and different suitable super-resolution algorithms are automatically selected for the blocks. Then, a deblocking process is applied to reduce block edge artifacts. A new benchmark is also utilized to measure the performance of super-resolution algorithms. Experimental results with real-life videos indicate encouraging improvements with our method.
Keyword:
Block based
motion registration error
spatially adaptive framework
super-resolution
super-resolution benchmark
期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
机构
引用论文
Superresolution video reconstruction with arbitrary sampling lattices and nonzero aperture time
PREAI
分享收藏
分享收藏Effects of Nautical Traffic and Noise on Foraging Patterns of Mediterranean Damselfish (Chromis chromis)海上交通和噪声对地中海豚 (Chromis chromis) 觅食方式的影响.png)
PLoS ONE
OAAI
PLoS ONEIF0
OAAI分享收藏A nonlinear least square technique for simultaneous image registration and super-resolution同时进行图像配准和超分辨率的非线性最小二乘技术
PREAI
分享收藏Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
PREAI
分享收藏
查看更多内容