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researcher

L. Luo

4 papers hereh-index 456.6k citations250 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.SY1
  • physics.med-ph1
same name
  • L. Luo — 32 papers, h 16
  • L. Luo — 23 papers, h 20
  • L. Luo — 16 papers, h 20
  • L. Luo — 7 papers, h 4
  • L. Luo — 6 papers, h 3
  • L. Luo — 6 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142020
most citedEfficient Legendre moment computation for grey level images

48 citations · 90 across the 4 of their papers we have counts for

collaborators

4 papers

physics.med-ph2020★ 4 cited

Dual-energy CT imaging from single-energy CT data with material decomposition convolutional neural network

Tianling Lyu, Zhan Wu, Yikun Zhang +3

Dual-energy computed tomography (DECT) is of great significance for clinical practice due to its huge potential to provide material-specific information. However, DECT scanners are…

eess.SY2015★ 4 cited

Gradient Compared Lp-LMS Algorithms for Sparse System Identification

Yong Feng, Jiasong Wu, Rui Zeng +2

In this paper, we propose two novel p-norm penalty least mean square (Lp-LMS) algorithms as supplements of the conventional Lp-LMS algorithm established for sparse adaptive filteri…

cs.CV2014★ 48 cited

Efficient Legendre moment computation for grey level images

Guanyu Yang, Huazhong Shu, Christine Toumoulin +2

Legendre orthogonal moments have been widely used in the field of image analysis. Because their computation by a direct method is very time expensive, recent efforts have been devo…

cs.CV2014★ 34 cited

Image reconstruction from limited range projections using orthogonal moments

Huazhong Shu, Jian Zhou, Guo-Niu Han +2

A set of orthonormal polynomials is proposed for image reconstruction from projection data. The relationship between the projection moments and image moments is discussed in detail…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.