Title :
Adaptive depth map enhancement based on joint bilateral filter
Author :
Feng, C. ; Dai, S.L.
Author_Institution :
State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China
Abstract :
In this paper, we present a method to enhance the noisy depth map. Firstly, we use joint bilateral filter to smooth noise and recover the lost region in depth map, and extract a detail layer by subtracting a base layer from the filtered depth map, then we amplify the detail layer adaptively. Finally, our method will yield the output depth map by adding the detail layer amplified to the base layer. Experimental results show better performance in improving the quality of depth map, our method not only enhances the details, but also recovers the lost region and reduces the noise in depth map.
Keywords :
computer vision; feature extraction; image denoising; image enhancement; image filtering; smoothing methods; adaptive depth map enhancement; adaptive detail layer amplification; depth map lost region recovery; depth map quality; detail enhancement; detail layer extraction; filtered depth map; joint bilateral filter; noise reduction; noise smoothing; noisy depth map enhancement; Color; Information filters; Joints; Noise; Smoothing methods; Three-dimensional displays;
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
DOI :
10.1109/CGNCC.2014.7007571