Improving image resolution using subpixel motion

Shmuel Peleg; Danny Keren; Limor Schweitzer

doi:10.1016/0167-8655(87)90067-5

Improving image resolution using subpixel motion

Shmuel Peleg, Danny Keren, Limor Schweitzer

Research output: Contribution to journal › Article › peer-review

Abstract

Given a low resolution camera, we would like to get an image with improved resolution using camera motion. From several low resolution images, with subpixel relative displacements, we get an improved resolution image. We find a high resolution image such that when simulating the imaging process we get low resolution images closest to the observed images. The method is tested on computer simulations, and simulated annealing is also used for the optimization process.

Original language	English
Pages (from-to)	223-226
Number of pages	4
Journal	Pattern Recognition Letters
Volume	5
Issue number	3
DOIs	https://doi.org/10.1016/0167-8655(87)90067-5
State	Published - Mar 1987
Externally published	Yes

Keywords

Image enhancement
sub-pixel matching
sub-pixel resolution

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/0167-8655(87)90067-5

Cite this

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title = "Improving image resolution using subpixel motion",

abstract = "Given a low resolution camera, we would like to get an image with improved resolution using camera motion. From several low resolution images, with subpixel relative displacements, we get an improved resolution image. We find a high resolution image such that when simulating the imaging process we get low resolution images closest to the observed images. The method is tested on computer simulations, and simulated annealing is also used for the optimization process.",

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AB - Given a low resolution camera, we would like to get an image with improved resolution using camera motion. From several low resolution images, with subpixel relative displacements, we get an improved resolution image. We find a high resolution image such that when simulating the imaging process we get low resolution images closest to the observed images. The method is tested on computer simulations, and simulated annealing is also used for the optimization process.

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KW - sub-pixel matching

KW - sub-pixel resolution

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Improving image resolution using subpixel motion

Abstract

Keywords

ASJC Scopus subject areas

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