NDLI: Smooth downsampling of depth images for visual prostheses

Content Provider	IEEE Xplore Digital Library
Author	Kheradvar, B. Mousavinia, A. Sodagar, A.M.
Copyright Year	2015
Description	Author affiliation: Faculties of Electr. & Comput. Eng., K.N. Toosi Univ. of Technol., Tehran, Iran (Kheradvar, B.; Mousavinia, A.) \|\| Res. Lab. for Integrated Circuits & Syst., K.N. Toosi Univ. of Technol., Tehran, Iran (Sodagar, A.M.)
Abstract	Over the past few decades, a variety of visual prostheses is developed to allow for the restoration of the vision for the blind. In visual prostheses, visual perception is limited to extremely low image resolution mainly due to restrictions in the fabrication of efficient microelectrode arrays. As a result, tasks such as navigation and way finding become difficult for those using implantable visual prostheses. Depth cue is a suitable alternative to intensity images to improve the quality and success of the aforementioned tasks in patients. After the processing of depth images, intensity of an object depends on its distance from the patient. Based on this principle, a method for preprocessing and downsampling of the depth images is proposed in this paper. We propose a method to enhance the contrast of the depth images and downsample the results to 6 × 12 images. This paper analyzes common downsampling methods and proposes a method based on the mode function. In the proposed method, the mode function is applied on every four successive frames to use temporal information in addition to stationary information. Quantitative and qualitative evaluations upon the LIRIS dataset are presented to compare the results of proposed method with rivals.
Starting Page	159
Ending Page	163
File Size	773106
Page Count	5
File Format	PDF
ISBN	9781467385398
ISSN	21666784
DOI	10.1109/IranianMVIP.2015.7397527
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-18
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Boolean functions Image resolution Navigation Retinal implant Image processing Visual prosthesis Data structures Image restoration Indexes Downsampling Depth Biomedical imaging
Content Type	Text
Resource Type	Article

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