Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics ›› 2025, Vol. 42 ›› Issue (1): 1-12.doi: 10.3969/j.issn.1005-3085.2025.01.001

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Image Reconstruction Model Based on Improved Exponential Total Variation

LI Yan1,  GUO Dinghui2   

  1. 1. First Research Institute of the Ministry of Public Security of PRC, Beijing 100048
    2. School of Mathematical Science, Beihang University, Beijing 102218
  • Received:2022-07-18 Accepted:2023-06-29 Online:2025-02-15 Published:2025-04-15

Abstract:

In this paper, exponential total variational reconstruction model is introduced into computed tomography reconstruction model to establish an improved exponential total variational reconstruction model (METV) which can perform gray transformation at low energy to properly suppress the step effect and avoid over-smoothing at high energy. The existence of the solution of the minimization problem corresponding to the improved model is proved by variational method. It is also verified by experiments that under the condition of adding mixed noise of different intensity, compared with TV and ETV models, the reconstructed image of METV model can be very close to the real image, and the obtained image edge structure is clearer.

Key words: total variation reconstruction model, image reconstruction, energy curve, variational method, existence of a solution

CLC Number: