Authors:
Takahiro Hasegawa
;
Ryoji Tomizawa
;
Yuji Yamauchi
;
Takayoshi Yamashita
and
Hironobu Fujiyoshi
Affiliation:
Chubu University, Japan
Keyword(s):
Guided Filter, Reflected IR Image, Depth Image, Denoising, Upsampling.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Generation Pipeline: Algorithms and Techniques
Abstract:
We propose the use of a reflected IR image as a guide image to improve the quality of depth image. Guided
filtering is a technique that can quickly remove noise from a depth image by using a guide image. However,
when an RGB image is used as a guide image, the quality of depth image does not be improved if the RGB
image contains texture information (such as surface patterns and shadows). In this study, our aim is to obtain
a depth image of higher quality by using a guide image derived from a reflected IR image, which have less
texture information and a high correlation with depth image. Using reflected IR image, it is possible to perform
filtering while retaining edge information between objects of different materials, without being affected by
textures on the surfaces of these objects. In evaluation experiments, we confirmed that a guide image based on
reflected IR image produce better denoising effects than RGB guide image. From the results of upsampling
tests, we also confirmed th
at the proposed IR based guided filtering has a higher PSNR than that of RGB
image.
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