.png){kind=icon}
Return
Superresolution with second generation wavelets
.png){kind=icon}
PRE
AI
DOI：10.1016/j.image.2004.02.001.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Over the last 3 years or so, first-generation wavelets have been used to realize superresolution from a captured sequence of low-resolution (LR) degraded frames. Here, it is pointed out that second-generation wavelets (SGWs) are inherently more suited for image superresolution. From preliminary results that exploit subpixel displacements between LR frames to attain superresolution, it is concluded that SGWs show promise and potential to be extremely fast, efficient and versatile for superresolution. (C) 2004 Elsevier B.V. All rights reserved.
Keywords:
image sequence superresolution
second generation wavelets
high-resolution reconstruction
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
S
IF:
2.7
Papers:
2.8K
Citations:
4.2K
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSaveShareSave
ShareSaveShareSaveShareSaveShareSaveShareSave
View more