Motion estimation using variable size block matching with cross square search pattern

Senbagavalli, G.; Manjunath, R.

doi:10.1007/s42452-020-03248-2

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…To improve the speed of motion estimation, several search methods [9]- [18], block matching criteria, starting point prediction methods, and early termination strategies [30]- [32] have been proposed. For the accuracy of motion estimation, optimization algorithms such as hierarchical search [41], [42] and variable block size search [43] have been proposed. These methods achieve good frame interpolation performance on continuous motion and stable luminance videos, such as film and television, but still have high error rates for medical images.…”

Section: Introductionmentioning

confidence: 99%

Luminance Compensation MEMC for Video Frame Interpolation

Ying

et al. 2022

IEEE Access

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Video frame interpolation is an important technology in digital video processing, which has great impact on users' viewing experience. In particular, in medical or industrial application scenarios, the accuracy of the frame interpolation algorithm may also influence the diagnosis results. In addition, for videos based on ionizing radiation (e.g., X-rays), each frame exposure could cause damage to human tissues by ionizing radiation. Therefore, if a frame interpolation algorithm is introduced to display the same number of frames, it only needs to sample half of the frames and halve the exposure radiation doses, which is statistically promising to reduce human cancer rate caused by ionizing radiations (e.g., medical examinations). However, since there are errors in frame interpolation caused by luminance leap, existing works are not applicable in such scenarios. To solve this problem, this paper proposes a video interpolation algorithm based on luminance compensation MEMC (LC-MEMC). Firstly, a luminance compensation method based on the electromagnetic irradiation attenuation in human tissue is introduced to improve the performance of motion estimation and motion compensation (MEMC) and reduce matching errors caused by luminance leap. Secondly, LC-MEMC proposes an improved block matching approach, including i) a new search method from basic points to local points and ii) a block matching criterion that simplifies the calculation process. LC-MEMC improves the accuracy and processing speed of video interpolation from three perspectives: adding luminance compensation, improving the search strategy and optimizing the matching degree calculation method for each search position. We evaluated LC-MEMC on collected medical videos and achieved higher accuracy, faster processing speed, and significantly better viewing experience comparing with existing methods.

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Section: Introductionmentioning

confidence: 99%

Luminance Compensation MEMC for Video Frame Interpolation

Ying

et al. 2022

IEEE Access

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“…Hence, new cross-diamond search uses modified partial distortion criteria, that results in little search points at the same contortion (Boonthep et al, 2020). Therefore, committed architecture of very large-scale integration as an approximation of effectual motion implementing methods to smaller areas and at great speed are crucial implementation forms of the MPEG and H.264/advanced video coding, like video coder (Senbagavalli and Manjunath, 2020). A new method of the hardware oriented modified diamond search algorithm is introduced for the approximation of movement of quick integers such as H.264/advanced video coding.…”

Section: Introductionmentioning

confidence: 99%

An efficient field-programmable gate array-based hardware oriented block motion estimation algorithm based on diamond adaptive rood pattern search algorithm for multi-standard video codec

Balamurugan

Seshasayanan

2021

Transactions of the Institute of Measurement and Control

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Motion estimation and motion compensation techniques are effectively used for removing temporal redundancy between adjacent frames during video compression, but video quality will be degraded with the traditional pixel-based matching algorithms. To overcome this issue, diamond adaptive rood pattern search algorithm-based block-matching motion estimation algorithms are proposed in this manuscript for multi-stranded codec hardware design, which provide a high compression rate with less computational complexity. In this work, a diamond adaptive rood pattern search algorithm is used, which is a combination of a diamond-search algorithm and adaptive rood pattern search. In addition, the proposed algorithm applies multiple search strategies and terminates unnecessary searching while reserving high data regularity. The proposed diamond adaptive rood pattern search algorithm-based block-matching motion estimation algorithm for multi-stranded codec hardware design provides good performance in terms of complex calculations reduction and reaches a high speed in comparison to traditional search algorithms. The proposed architecture is implemented in Xilinx ISE design 14.5 suite and the implemented results are compared to the existing motion estimation techniques on field-programmable gate array devices. Simulation results shows that the diamond adaptive rood pattern search algorithm for multi-stranded codec hardware design provides a very good improvement in terms of computations overhead reduction, with 96.4%, 97.3% latency and 98.7% throughput and achieves a high compression rate without video quality degradation.

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Efficient Block Matching Motion Estimation Using Variable-Size Blocks and Predictive Tools

Mirjalili,

Mousavinia

2024

Circuits Syst Signal Process

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Motion estimation using variable size block matching with cross square search pattern

Cited by 4 publications

References 17 publications

Luminance Compensation MEMC for Video Frame Interpolation

Luminance Compensation MEMC for Video Frame Interpolation

An efficient field-programmable gate array-based hardware oriented block motion estimation algorithm based on diamond adaptive rood pattern search algorithm for multi-standard video codec

Efficient Block Matching Motion Estimation Using Variable-Size Blocks and Predictive Tools

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