Superpixel-based depth image super-resolution

Yongseok Soh; Jae-Young Sim; Chang-Su Kim; Sang-Uk Lee

doi:10.1117/12.909848

30 January 2012 Superpixel-based depth image super-resolution

Yongseok Soh, Jae-Young Sim, Chang-Su Kim, Sang-Uk Lee

Proceedings Volume 8290, Three-Dimensional Image Processing (3DIP) and Applications II; 82900D (2012) https://doi.org/10.1117/12.909848
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

Due to the development of depth sensors, such as time-of-flight (ToF) cameras, it becomes easier to acquire depth information directly from a scene. Although such devices enable us to obtain depth maps at video frame rates, the depth maps often have low resolutions only. A typical ToF camera retrieves depth maps of resolution 320 x 200, which is much lower than the resolutions of high definition color images. In this work, we propose a depth image super-resolution algorithm, which operates robustly even when there is a large resolution gap between a depth image and a reference color image. To prevent edge smoothing artifacts, which are the main drawback of conventional techniques, we adopt a superpixel-based approach and develop an edge enhancing scheme. Simulation results demonstrate that the proposed algorithm aligns the edges of a depth map to accurately coincide with those of a high resolution color image.

Citation Download Citation

Yongseok Soh, Jae-Young Sim, Chang-Su Kim, and Sang-Uk Lee "Superpixel-based depth image super-resolution", Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 82900D (30 January 2012); https://doi.org/10.1117/12.909848

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