TY - JOUR
T1 - Image blurring effects due to depth discontinuities
T2 - blurring that creates emergent image details
AU - Nguyen, Thang C.
AU - Huang, Thomas S.
N1 - Funding Information:
This work is supported by the National Science Foundation under the Creativity in Engineering Award EID-8811553, and grant IRI-~9-(~272~,
PY - 1992/12
Y1 - 1992/12
N2 - A new model (called multi-component blurring- or MCB) to account for image blurring effects due to depth discontinuities is presented. We show that blurring processes operating in the vicinity of large depth discontinuties can give rise to emergent image details, quite distinguishable but nevertheless unexplained by previously available blurring models. In other words, the maximum principle for scale space1 does not hold. It is argued that blurring in high-relief 3D scenes should be more accurately modelled as a multi-component process. We present results from extensive and carefully designed experiments, with many images of real scenes taken by a CCD camera with typical parameters. These results have consistently supported our new blurring model. Due care was taken to ensure that the image phenomena observed are mainly due to de-focussing and not due to mutual illuminations2, specularity3, objects' 'finer' structures, coherent diffraction, or incidental image noises4. We also hypothesize on the role of blurring on human depth-from-blur perception, based on correlation with recent results from human blur perception5.
AB - A new model (called multi-component blurring- or MCB) to account for image blurring effects due to depth discontinuities is presented. We show that blurring processes operating in the vicinity of large depth discontinuties can give rise to emergent image details, quite distinguishable but nevertheless unexplained by previously available blurring models. In other words, the maximum principle for scale space1 does not hold. It is argued that blurring in high-relief 3D scenes should be more accurately modelled as a multi-component process. We present results from extensive and carefully designed experiments, with many images of real scenes taken by a CCD camera with typical parameters. These results have consistently supported our new blurring model. Due care was taken to ensure that the image phenomena observed are mainly due to de-focussing and not due to mutual illuminations2, specularity3, objects' 'finer' structures, coherent diffraction, or incidental image noises4. We also hypothesize on the role of blurring on human depth-from-blur perception, based on correlation with recent results from human blur perception5.
KW - active vision
KW - depth-from-blur
KW - human blur perception
KW - incoherent imaging of 3D scenes
KW - multi-component image blurring (MCB)
KW - point-spread functions (kernels)
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U2 - 10.1016/0262-8856(92)90014-T
DO - 10.1016/0262-8856(92)90014-T
M3 - Article
AN - SCOPUS:44049110214
SN - 0262-8856
VL - 10
SP - 689
EP - 698
JO - Image and Vision Computing
JF - Image and Vision Computing
IS - 10
ER -