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Xiangling Ding
Researcher at Hunan University of Science and Technology
Publications - 36
Citations - 473
Xiangling Ding is an academic researcher from Hunan University of Science and Technology. The author has contributed to research in topics: Computer science & Encryption. The author has an hindex of 10, co-authored 26 publications receiving 288 citations. Previous affiliations of Xiangling Ding include Hunan University & Jishou University.
Papers
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An efficient forgery detection algorithm for object removal by exemplar-based image inpainting
TL;DR: An efficient forgery detection algorithm for object removal by exemplar-based inpainting is presented, which integrates central pixel mapping (CPM), greatest zero-connectivity component labeling (GZCL) and fragment splicing detection (FSD).
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Identification of Motion-Compensated Frame Rate Up-Conversion Based on Residual Signals
TL;DR: Experimental results show that the proposed blind forensics approach can effectively locate interpolated frames and further identify the adopted MC-FRUC technique for both uncompressed videos and compressed videos with high perceptual qualities.
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Early Intra CU Size Decision for Versatile Video Coding Based on a Tunable Decision Model
TL;DR: This work proposes an early intra coding unit (CU) size partition method for VVC based on a tunable decision model that reduces the encoding time and is suitable for parallel implementation by exploiting the pipeline structure of the VVC encoder due to its independency with neighboring CU blocks.
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An ECG Signal De-Noising Approach Based on Wavelet Energy and Sub-Band Smoothing Filter
Dengyong Zhang,Shanshan Wang,Feng Li,Jin Wang,Arun Kumar Sangaiah,Victor S. Sheng,Xiangling Ding +6 more
TL;DR: The proposed ECG signal de-noising method using wavelet energy and a sub-band smoothing filter can effectively remove noise from the noisy ECG signals in comparison to the existing methods.
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Security improvement for asymmetric cryptosystem based on spherical wave illumination
TL;DR: The proposed improvement method can avoid various types of the currently existing attacks and maintain the asymmetric characteristic of the cryptosystem due to only changing the illuminating mode and can be easily implemented in optics compared with the reported improving methods.