A new focus measure operator for enhancing image focus in 3D shape recovery

2021 ◽  
Author(s):  
Hoon‐Seok Jang ◽  
Guhnoo Yun ◽  
Husna Mutahira ◽  
Mannan Saeed Muhammad
Keyword(s):  
Shape Recovery ◽  
3D Shape ◽  
Focus Measure ◽  
3D Shape Recovery ◽  
Image Focus

EFFECT OF NOISE AND SOURCE ILLUMINATION ON 3D SHAPE RECOVERY

2008 ◽  
Vol 22 (05) ◽  
pp. 945-958 ◽  
Author(s):  
AAMIR SAEED MALIK ◽  
TAE-SUN CHOI
Keyword(s):  
Shape Recovery ◽  
Noise Analysis ◽  
Depth Estimation ◽  
Optical Methods ◽  
Optical Transfer Function ◽  
Factors Affecting ◽  
3D Shape ◽  
Focus Measure ◽  
Source Illumination ◽  
3D Shape Recovery

There are many factors affecting the depth estimation for 3D shape recovery using passive optical methods. In this paper, we consider the effects of noise, source illumination and texture reflectance for shape from focus technique. We present a focus measure which shows consistent performance for varying noise levels, source illumination levels and different texture reflectance. The focus measure is based on an optical transfer function implemented in the Fourier domain and its results are compared with four other focus measures. The additive Gaussian noise is considered for noise analysis. Three illumination levels are considered for source illumination and three different textures are studied for reflectance analysis.

Wavelet and PCA-based approach for 3D shape recovery from image focus

2008 ◽  
Author(s):  
Muhammad Tariq Mahmood ◽  
Seongo Shim ◽  
Tae-Sun Choi
Keyword(s):  
Shape Recovery ◽  
3D Shape ◽  
3D Shape Recovery ◽  
Image Focus
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