A new Eulerian temporal filtering method for boosting endoscopic video motion magnification

Author(s):  
Wenkang Fan ◽  
Zhuohui Zheng ◽  
Wankang Zeng ◽  
Yinran Chen ◽  
Hong Shi ◽  
...  
2008 ◽  
Vol 15B (2) ◽  
pp. 123-130 ◽  
Author(s):  
Jong-Seok Lee ◽  
Cheol-Hoon Park

2014 ◽  
Vol 687-691 ◽  
pp. 4097-4100
Author(s):  
Shun Xing Hu ◽  
Hong Tao Zhang

the temporal correlation exists between the frame and the frame in a video message, in order to solve temporal redundancy.This paper adopts motion-compensated temporal filtering method for removing temporal correlation, motion-compensated temporal filtering and Haar wavelet lifting techniques are studied and discussed; finally presented the improved motion compensated temporal filtering methods. Results show the new method improves coding efficiency and scalability.


2008 ◽  
Vol 128 (8) ◽  
pp. 1358-1366 ◽  
Author(s):  
Masao Yamamoto ◽  
Hisao Mase ◽  
Hiroshi Yajima ◽  
Hiroshi Kinukawa

Author(s):  
Erna Verawati ◽  
Surya Darma Nasution ◽  
Imam Saputra

Sharpening the image of the road display requies a degree of brightness in the process of sharpening the image from the original image result of the improved image. One of the sharpening of the street view image is image processing. Image processing is one of the multimedia components that plays an important role as a form of visual information. There are many image processing methods that are used in sharpening the image of street views, one of them is the gram schmidt spectral sharpening method and high pass filtering. Gram schmidt spectral sharpening method is method that has another name for intensity modulation based on a refinement fillter. While the high pass filtering method is a filter process that btakes image with high intensity gradients and low intensity difference that will be reduced or discarded. Researce result show that the gram schmidt spectral sharpening method and high pass filtering can be implemented properly so that the sharpening of the street view image can be guaranteed sharpening by making changes frome the original image to the image using the gram schmidt spectral sharpening method and high pass filtering.Keywords: Image processing, gram schmidt spectral sharpening and high pass filtering.


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