A new interpolation algorithm based on Hibbard-Laroche algorithm and its superiority

Research Article
Open access

A new interpolation algorithm based on Hibbard-Laroche algorithm and its superiority

Yuxuan Huang 1 , Yiming Ren 2*
  • 1 Shaoguan University    
  • 2 University of Shanghai for Science and Technology    
  • *corresponding author 1912140119@st.usst.edu.cn
Published on 23 October 2023 | https://doi.org/10.54254/2755-2721/15/20230822
ACE Vol.15
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-83558-021-9​
ISBN (Online): 978-1-83558-022-6

Abstract

In order to optimize the possible problems and improvements in the existing color image restoration interpolation algorithms, we conduct research based on the existing bilinear interpolation method, cok algorithm and Hibbard-Laroche algorithm. Our method is to use our own comparison method to compare different types of images through three algorithms to find the advantages and disadvantages and to some extent combine the advantages of bilinear interpolation and Hibbard-Laroche algorithm to try to innovate a new algorithm to compare with the existing three algorithms. The results show that the existing three algorithms have their own advantages in different scenarios, and the new algorithm is superior to the existing algorithms in terms of clarity and color restoration accuracy in most scenarios. However, due to the large computational complexity, the operation speed is slow.

Keywords:

algorithm comparison, Hibbard-Laroche algorithm, a new algorithm, algorithm improvement

Huang,Y.;Ren,Y. (2023). A new interpolation algorithm based on Hibbard-Laroche algorithm and its superiority. Applied and Computational Engineering,15,119-133.
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References

[1]. Jie X, Li-na H, Guo-hua G, et al. Real color image enhancement based on the spectral sensitivity of most people vision and stationary wavelet transform[C]//2009 2nd IEEE International Conference on Computer Science and Information Technology. IEEE, 2009: 323-328.

[2]. HUA Ying,PENG Hongjing. An Image Interpolation Algorithm for Single CCD Image Sensor[A]. Nanjing:School of Information Science and Engineering,Nanjing University of Technology,2010:570-07.(in Chinese)

[3]. Lamb A B, Khambete M. Image Quality Assessment Database for Demosaicing Artifacts[C]//2018 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2018: 1100-1105.

[4]. Xu T, Yu M. An improved Hibbard interpolation algorithm based on edge judgement[C]//International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021). SPIE, 2021, 12156: 35-42.

[5]. LIU Sai. Research and comparison of classical interpolation algorithm based on color image[A].Suzhou:Suzhou University of Science and Technology,2020:049-04. (in Chinese)

[6]. Lu J. Analysis and Comparison of Three Classical Color Image Interpolation Algorithms[C]//Journal of Physics: Conference Series. IOP Publishing, 2021, 1802(3): 032124.

[7]. HE Qin,LIU Wenyu. Research on color interpolation algorithm of digital image sensor[A].Wuhan:Huazhong University of Science and Technology,Wuhan National Laboratory of Optoelectronics,2007:1482-04. (in Chinese)

[8]. Wang J F, Wang C S, Hsu H J. A novel color interpolation algorithm by pre-estimating minimum square error[C]//2005 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2005: 6288-6291.

[9]. Cloutier E, Beaulieu L, Archambault L. On the use of polychromatic cameras for high spatial resolution spectral dose measurements[J]. Physics in Medicine & Biology, 2022, 67(11): 11NT01.

[10]. Robert C. Implementing Process Color Printing by Colorimetry[J].

Cite this article

Huang,Y.;Ren,Y. (2023). A new interpolation algorithm based on Hibbard-Laroche algorithm and its superiority. Applied and Computational Engineering,15,119-133.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Computing and Data Science

ISBN：978-1-83558-021-9​(Print) / 978-1-83558-022-6(Online)
Editor：Marwan Omar, Roman Bauer, Alan Wang
Conference website: https://2023.confcds.org/
Conference date: 14 July 2023
Series: Applied and Computational Engineering
Volume number: Vol.15
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Jie X, Li-na H, Guo-hua G, et al. Real color image enhancement based on the spectral sensitivity of most people vision and stationary wavelet transform[C]//2009 2nd IEEE International Conference on Computer Science and Information Technology. IEEE, 2009: 323-328.

[2]. HUA Ying,PENG Hongjing. An Image Interpolation Algorithm for Single CCD Image Sensor[A]. Nanjing:School of Information Science and Engineering,Nanjing University of Technology,2010:570-07.(in Chinese)

[3]. Lamb A B, Khambete M. Image Quality Assessment Database for Demosaicing Artifacts[C]//2018 International Conference on Communication and Signal Processing (ICCSP). IEEE, 2018: 1100-1105.

[4]. Xu T, Yu M. An improved Hibbard interpolation algorithm based on edge judgement[C]//International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021). SPIE, 2021, 12156: 35-42.

[5]. LIU Sai. Research and comparison of classical interpolation algorithm based on color image[A].Suzhou:Suzhou University of Science and Technology,2020:049-04. (in Chinese)

[6]. Lu J. Analysis and Comparison of Three Classical Color Image Interpolation Algorithms[C]//Journal of Physics: Conference Series. IOP Publishing, 2021, 1802(3): 032124.

[7]. HE Qin,LIU Wenyu. Research on color interpolation algorithm of digital image sensor[A].Wuhan:Huazhong University of Science and Technology,Wuhan National Laboratory of Optoelectronics,2007:1482-04. (in Chinese)

[8]. Wang J F, Wang C S, Hsu H J. A novel color interpolation algorithm by pre-estimating minimum square error[C]//2005 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 2005: 6288-6291.

[9]. Cloutier E, Beaulieu L, Archambault L. On the use of polychromatic cameras for high spatial resolution spectral dose measurements[J]. Physics in Medicine & Biology, 2022, 67(11): 11NT01.

[10]. Robert C. Implementing Process Color Printing by Colorimetry[J].

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