Medical Image Enhancement and Deblurring

Reza Amini Gougeh, Tohid Yousefi Rezaii, Ali Farzamnia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


One of the most common image artifacts is blurring. Blind methods have been developed to restore a clear image from blurred input. In this paper, we introduce a new method which optimizes previous works and adapted with medical images. Optimized non-linear anisotropic diffusion was used to reduce noise by choosing constants correctly. After de-noising, edge sharpening is done using shock filters. A novel enhanced method called Coherence-Enhancing shock filters helped us to have strong sharpened edges. To obtain a blur kernel, we used the coarse-to-fine method. In the last step, we used spatial prior before restoring the unblurred image. Experiments with images show that combining these methods may outperform previous image restoration techniques in order to obtain reliable accuracy.

Original languageEnglish
Title of host publicationProceedings of the 11th National Technical Seminar on Unmanned System Technology 2019
Subtitle of host publicationNUSYS 2019
EditorsZainah Md Zain, Hamzah Ahmad, Dwi Pebrianti, Mahfuzah Mustafa, Nor Rul Hasma Abdullah, Rosdiyana Samad, Maziyah Mat Noh
PublisherSpringer Singapore
Number of pages12
ISBN (Electronic)9789811552816
ISBN (Print)9789811552809, 9789811552830
Publication statusPublished - 8 Jul 2020
Externally publishedYes
Event11th National Technical Symposium on Unmanned System Technology - Kuantan, Malaysia
Duration: 2 Dec 20193 Dec 2019
Conference number: 11

Publication series

NameLecture Notes in Electrical Engineering
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119


Conference11th National Technical Symposium on Unmanned System Technology
Abbreviated titleNUSYS 2019

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