[vc_empty_space][vc_empty_space]
Reconstruction of holographic microscopy images based on matching pursuits on a pair of domains
Suksmono A.B.a, Hirose A.b
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, 40132, Indonesia
b Department of Electrical Engineering and Information Systems, The University of Tokyo, Japan
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2016, School of Electrical Engineering and Informatics. All rights reserved.We propose a new reconstruction method of an object image from its digital hologram. The proposed matching pursuit on a pair of domains (MPPD) method employs spatial-domain bases and their (Fresnel) transform-domain pair. The transform domain bases are used to decompose the hologram, which yield a set of coefficients. Then, these coefficients are used to reconstruct the spatial-domain object image using the predefined spatial bases. We show the robustness of the proposed method against noise on a simulated hologram of spherical particles. By employing spatial-domain Gaussian bases and its transform pair, the image of these particles are recovered successfully. A possibility to extend the 2D (twodimensional) case to a 3D (three-dimensional) one for slice reconstruction from a single hologram is also explored. The effectiveness of the proposed method is demonstrated by using a real microscopic-hologram of silica gel spherical particles, which shows promising results.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.15676/ijeei.2016.8.3.6[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]