Hybrid frame rate upconversion method based on motion vector mapping

Tsung Han Tsai, Hsueh Yi Lin

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Liquid crystal displays (LCDs), which serve as receivers of high visual quality video, suffer from motion blur issues. One of the methods in terminating motion blur is motion compensated frame rate upconversion, which is widely adopted in LCDs. In the previous work, i.e., particle-based frame rate upconversion, the computation complexity is high while repeated operations and some improper cost evaluation setup are observed. Therefore, in this paper, hybrid frame rate upconversion is proposed with two features. First, the cost evaluation for particle-based motion trajectory calibration is modified based on the possible noise sources and video resolution variations. Second, repeated operations in particle-based motion trajectory calibration are observed. Therefore, original particle-based motion trajectory calibration is replaced by initial motion vector assignment and subsequent motion vector mapping to achieve computation complexity reduction, while the effective search range is relatively expanded. According to the experiment results, the visual quality is enhanced by 1.87 dB on average, compared with state-of-the-art unidirectional-based frame rate upconversion approaches. On the other hand, the computation complexity of the proposed design is reduced by 25-90% based on target video resolution, concluding a high visual quality and low computation complexity frame rate upconversion design.

Original languageEnglish
Article number6542031
Pages (from-to)1901-1910
Number of pages10
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume23
Issue number11
DOIs
StatePublished - 2013

Keywords

  • Bidirectional motion vector mapping
  • frame rate upconversion (FRUC)
  • hybrid
  • iterative motion vector assignment
  • low computation complexity
  • noise minimization
  • resolution adaptive cost evaluation

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