Earticle

초록

영어

Video generation is the strategy of making videos by discovering moving pictures (videography) and making blends in live creation. During this aspect of videos creation, sequence of images gets contorted in the image acquisition and transmission phase. This paper presents a non-linear patch model for enhancing the degraded quality of video sequences. The proposed method navigates the frames of videos by selecting a patch of considerable width and with the assistance of this patch, a regression model is applied in order to have a robust effect while performing de-noising, de-blurring or super-resolution. The proposed work implements on three models i.e. search model, regression model and non-linear patch model. Various filters have been propounded e.g. kernel filters, total variation filters, adaptive median filter etc. Regression model is applied to every frame with predefined number of iterations with estimated number of frames. The proposed method inculpates two kinds of noise i.e. Gaussian noise and impulse noise. Various performance comparison metrics have been evaluated to check the coherence and productivity of imaging system like Peak signal to noise ratio (PSNR), Mean squared error (MSE), Root mean squared error (RMSE), Standard deviation (SD), Linear correlation and structural entropy.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Proposed Work
 4. Evaluation Parameters
 5. Results
 6. Conclusion
 References

키워드

저자

• Er. Manisha Sharma [ Department of Computer Science Engineering Swami Devi Dyal Institute of Engineering and Technology Golpura, Barwala, Panchkula, India ]
• Er. Kiran Gupta [ Department of Computer Science Engineering Swami Devi Dyal Institute of Engineering and Technology Golpura, Barwala, Panchkula, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Advanced Science and Technology

• 간기

  월간

• pISSN

  2005-4238

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605