Weighted fuzzy reasoning scheme for interlaced to progressive conversion
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Fuzzy Systems
Enhancement of interlaced images by fuzzy reasoning approach
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
An edge-preserving motion-compensated approach for video deinterlacing
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
Application for deinterlacing method using edge direction classification and fuzzy inference system
Multimedia Tools and Applications
An adaptive motion-compensated approach for video deinterlacing
Multimedia Tools and Applications
A local adaptive weighted interpolation for deinterlacing
Digital Signal Processing
Fuzzy logic-based embedded system for video de-interlacing
Applied Soft Computing
| Hi-index | 0.43 |
This paper presents a novel intra deinterlacing algorithm (NID) based on content adaptive interpolation. The NID consists of three steps: pre-processing, content classification, and content adaptive interpolation. There are also three main interpolation methods in our proposed NID, i.e. modified edge-based line averaging (M-ELA), gradient directed interpolation (GDI), and window matching method (WMM). Each proposed method shows different performances according to spatial local features. Therefore, we analyze the local region feature using the gradient detection and classify each missing pixel into four categories. And then, based on the classification result, a different de-interlacing algorithm is activated in order to obtain the best performance. Experimental results demonstrate that the NID method performs better than previous techniques.