Image reconstruction using single-pixel color ghost imaging

Yin Xiao, Wen Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


A simple method is proposed to recover color image by using single-pixel ghost imaging (GI) technique. A color image (RGB format) is firstly converted to its indexed image format before it is measured, and conventional GI technique is used to measure and recover this indexed image. Quality of the recovered image using conventional correlation algorithm of GI is low even using a large amount of measurements. It is difficult to convert the low-quality indexed image back to the RGB image. To reconstruct color image with high quality, a Gerchberg-Saxton-like algorithm is used to further improve contrast of the recovered indexed image. This algorithm can lead to a nonlinear growth of signal-to-noise ratio (SNR) value with respect to the number of measurements. Hence, after a dramatic improvement, a large SNR value of the indexed image can be achieved and a comparatively high-quality color image can be obtained from the improved indexed image. Compared to traditional method in GI which treats a color image as three independent channels (i.e., red, green and blue), the proposed method is simpler, because it reduces the complexity by converting original three channels into a single channel. Besides, since the recovered indexed image is processed by a Gerchberg-Saxton-like algorithm, high-quality color images can be obtained. It is worth noting that the proposed method uses a post-processing strategy, and it does not add the complexity. Some computational results are presented to prove that the proposed method is feasible and effective.
Original languageEnglish
Title of host publication2017 Progress In Electromagnetics Research Symposium - Fall, PIERS - FALL 2017 - Proceedings
PublisherElectromagnetics Academy
Number of pages5
ISBN (Electronic)9781538612118
Publication statusPublished - 20 Nov 2017
Event2017 Progress In Electromagnetics Research Symposium - Fall, PIERS - FALL 2017 - Singapore, Singapore
Duration: 19 Nov 201722 Nov 2017


Conference2017 Progress In Electromagnetics Research Symposium - Fall, PIERS - FALL 2017

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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