Compressed sensing of a dichromatic color filter array
Date of Publication
2014
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Carlo Noel E. Ochotorena
Defense Panel Chair
Edwin Sybingco
Defense Panel Member
Lawrence Yasay Materum
Argel A. Bandala
Abstract/Summary
Growing interest in photography has given rise to demands for high quality images. Existing color filter array (CFA) topologies and signal sampling techniques, however, are limited. The former, which is predominantly Bayer, can at most capture 50% of the total green channel. The latter, on the other hand, is inefficient. Contemporary signal sampling techniques typically require a complete representation of the input signal. This is, subsequently, computationally expensive.
This paper proposes a new CFA topology, CY1Y2C, to theoretically extract the full green channel. However, such an approach results in an underdetermined system of linear equations, which cannot be handled by contemporary signal sampling and reconstruction methods. To address this concern, compressed sensing techniques will be used in conjunction with the proposed CFA. Said approach will involve the generation of a custom measurement matrix and recovery algorithms to yield a sparse representation of the input signal given only few measurements.
Abstract Format
html
Language
English
Format
Accession Number
TU18733
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
161 leaves : illustrations (some colored) ; 28 cm.
Recommended Citation
Agno, A. H., Apacible, A. V., Chin, J. T., & Gaffud, C. S. (2014). Compressed sensing of a dichromatic color filter array. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/12151
