Content adaptive wavelet based method for joint denoising of depth and luminance images

Ljubomir Jovanov; Nemanja Petrovic; Aleksandra Pizurica; Wilfried Philips

doi:10.1117/12.736437

11 October 2007 Content adaptive wavelet based method for joint denoising of depth and luminance images

Ljubomir Jovanov, Nemanja Petrovic, Aleksandra Pizurica, Wilfried Philips

Proceedings Volume 6763, Wavelet Applications in Industrial Processing V; 67630D (2007) https://doi.org/10.1117/12.736437
Event: Optics East, 2007, Boston, MA, United States

Abstract

In this paper we present a new method for joint denoising of depth and luminance images produced by time-of-flight camera. Here we assume that the sequence does not contain outlier points which can be present in the depth images. Our method first performs estimation of noise and signal covariance matrices and then performs vector denoising. Luminance image is segmented into similar contexts using k-means algorithm, which are used for calculation of covariance matrices. Denoising results are compared with the ground truth images obtained by averaging of the multiple frames of the still scene.

Citation Download Citation

Ljubomir Jovanov, Nemanja Petrovic, Aleksandra Pizurica, and Wilfried Philips "Content adaptive wavelet based method for joint denoising of depth and luminance images", Proc. SPIE 6763, Wavelet Applications in Industrial Processing V, 67630D (11 October 2007); https://doi.org/10.1117/12.736437

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