IEEE transactions on circuits and systems for video technology, 2013-11, Vol.23 (11), p.1865-1872
2013
Volltextzugriff (PDF)
Details
- Autor(en) / Beteiligte
- Titel
- Moving Least-Squares Method for Interlaced to Progressive Scanning Format Conversion
- Ist Teil von
- IEEE transactions on circuits and systems for video technology, 2013-11, Vol.23 (11), p.1865-1872
- Ort / Verlag
- New York, NY: IEEE
- Erscheinungsjahr
- 2013
- Quelle
- IEL
- Beschreibungen/Notizen
- In this paper, we introduce an efficient intra-field deinterlacing algorithm based on moving least squares (MLS). The MLS algorithm has proven successful for approximating scattered data by minimizing a weighted mean-square error norm. In order to estimate the value of the missing point using the given data, we utilize MLS to generate a generic local approximation function about this point. In the MLS method, we adopt trigonometric functions to approximate the local function. This method is compared to other benchmark algorithms in terms of peak signal-to-noise ratio and structural similarity objective quality measures and deinterlacing speed. It was found to provide excellent performance and the best quality-speed tradeoff among the methods studied.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1051-8215eISSN: 1558-2205DOI: 10.1109/TCSVT.2013.2248286Titel-ID: cdi_pascalfrancis_primary_27975228
- Format
- –
- Schlagworte
- Applied sciences, Approximation methods, Artificial intelligence, Coding, codes, Computer science, control theory, systems, Deinterlacing, Design automation, Exact sciences and technology, Image edge detection, Image reconstruction, Image resolution, Information, signal and communications theory, moving least squares (MLS), Pattern recognition. Digital image processing. Computational geometry, PSNR, Signal and communications theory, Telecommunications and information theory, trigonometric functions, Visualization