Upscaling image resolution of compact imaging systems using wavefront coding and a property of the point-spread function

Sang Hyuck Lee, No Cheol Park, Kyoung Su Park, Young Pil Park

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

We propose an image-resolution upscaling method for compact imaging systems. The image resolution is calculated using the resolving power of the optics and the pixel size of a digital image sensor. The resolution limit of the compact imaging system comes from its size and the number of allowed lenses. To upscale the image resolution but maintain the small size, we apply wavefront coding and image restoration. Conventional image restoration could not enhance the image resolution of the sensor. Here, we use the upscaled image of a wavefront-coded optical system and apply an image-restoration algorithm using a more precisely calculated point-spread function (PSF) as the deconvolution filter. An example of a wavefront-coded optical system with a 5-megapixel image sensor is given. The final image had a resolution equivalent to that of a 10-megapixel image using only four plastic lenses. Moreover, image degradation caused by hand motion could also be reduced using the proposed method.

Original languageEnglish
Pages (from-to)2304-2312
Number of pages9
JournalJournal of the Optical Society of America A: Optics and Image Science, and Vision
Volume27
Issue number10
DOIs
Publication statusPublished - 2010 Oct 1

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'Upscaling image resolution of compact imaging systems using wavefront coding and a property of the point-spread function'. Together they form a unique fingerprint.

Cite this