Image restoration based on weighted average of multiple blurred and noisy images

Ryo Tanikawa, Takanori Fujisawa, Masaaki Ikehara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a new method for image restoration from a pair of images with different noise and blur artifacts. These images are obtained from the camera with different exposure time and the restored images have higher quality. Some restoration methods using multiple degraded images have been proposed. Most of these methods solve the optimization problem achieving the noise removal and the blur suppression at the same time. However, this approach cannot handle the degree of noise removal and blur suppression easily. This paper proposes a new method for image restoration from a pair of images with different noise and blur artifacts. We take a wighted average of the two images to produce one image for the restoration process. By merging the noisy image, the noise and blur artifact can be efficiently suppressed while keeping useful image information. Then we propose a simple restoration method and obtain a higher quality restored image. Experiment results show that the proposed method can obtain a higher quality restored images which are removed noise and preserved edges.

Original languageEnglish
Title of host publication2018 International Workshop on Advanced Image Technology, IWAIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-4
Number of pages4
ISBN (Electronic)9781538626153
DOIs
Publication statusPublished - 2018 May 30
Event2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand
Duration: 2018 Jan 72018 Jan 9

Other

Other2018 International Workshop on Advanced Image Technology, IWAIT 2018
CountryThailand
CityChiang Mai
Period18/1/718/1/9

Fingerprint

Image reconstruction
Restoration
Image quality
Merging
Cameras
Experiments

Keywords

  • deblurring
  • denoising
  • image restoration

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Media Technology

Cite this

Tanikawa, R., Fujisawa, T., & Ikehara, M. (2018). Image restoration based on weighted average of multiple blurred and noisy images. In 2018 International Workshop on Advanced Image Technology, IWAIT 2018 (pp. 1-4). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAIT.2018.8369665

Image restoration based on weighted average of multiple blurred and noisy images. / Tanikawa, Ryo; Fujisawa, Takanori; Ikehara, Masaaki.

2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Tanikawa, R, Fujisawa, T & Ikehara, M 2018, Image restoration based on weighted average of multiple blurred and noisy images. in 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 2018 International Workshop on Advanced Image Technology, IWAIT 2018, Chiang Mai, Thailand, 18/1/7. https://doi.org/10.1109/IWAIT.2018.8369665
Tanikawa R, Fujisawa T, Ikehara M. Image restoration based on weighted average of multiple blurred and noisy images. In 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4 https://doi.org/10.1109/IWAIT.2018.8369665
Tanikawa, Ryo ; Fujisawa, Takanori ; Ikehara, Masaaki. / Image restoration based on weighted average of multiple blurred and noisy images. 2018 International Workshop on Advanced Image Technology, IWAIT 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4
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