Published

2015-09-01

High-dynamic range compressive spectral imaging by grayscale coded aperture adaptive filtering

Reconstrucción de imágenes espectrales compresivas con alto rango dinámico por medio de filtrado adaptativo en escala de grises

Keywords:

Compressive sensing, hyperspectral imaging, saturation, dynamic range, coded aperture, optical imaging. (en)
Muestreo compresivo, imágenes hiperespectrales, saturación, rango dinámico, apertura codificada, imágenes ópticas. (es)

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Authors

  • Nelson Eduardo Diaz M,Sc Student at Universidad Industrial de Santander, Colombia.
  • Hoover Fabian Rueda Chacon Ph.D student at University of Delaware, Newark DE, USA.
  • Henry Arguello Fuentes Associated professor at Universidad Industrial de Santander, Colombia.

The coded aperture snapshot spectral imaging system (CASSI) is an imaging architecture which senses the three dimensional informa-tion of a scene with two dimensional (2D) focal plane array (FPA) coded projection measurements. A reconstruction algorithm takes advantage of the compressive measurements sparsity to recover the underlying 3D data cube. Traditionally, CASSI uses block-un-block coded apertures (BCA) to spatially modulate the light. In CASSI the quality of the reconstructed images depends on the design of these coded apertures and the FPA dynamic range. This work presents a new CASSI architecture based on grayscaled coded apertu-res (GCA) which reduce the FPA saturation and increase the dynamic range of the reconstructed images. The set of GCA is calculated in a real-time adaptive manner exploiting the information from the FPA compressive measurements. Extensive simulations show the attained improvement in the quality of the reconstructed images when GCA are employed.  In addition, a comparison between traditional coded apertures and GCA is realized with respect to noise tolerance.

El sistema de adquisición de imágenes espectrales basado en una apertura codificada de única captura (CASSI) es una arquitectura para muestrear imágenes espectrales que captura información de una escena en tres dimensiones mediante medidas proyectadas y codificadas del sensor en dos dimensiones (2D). Para recuperar el cubo de datos se emplea un algoritmo de reconstrucción que apro-vecha la esparcidad de las medidas compresivas. Tradicionalmente, CASSI usa aperturas codificadas binarias para modular espacial-mente la luz.  En CASSI la calidad de las imágenes reconstruidas depende del diseño de estas aperturas codificadas y de la saturación del sensor. Este trabajo presenta una nueva arquitectura CASSI  basada en aperturas codificadas de escala de grises (ACG), la cual reduce la saturación en el sensor e incrementa el rango dinámico de las imágenes reconstruidas.  El conjunto de ACG se calcula en tiempo real de forma adaptativa explotando la información contenida en las medidas compresivas del sensor. La mejora obtenida en la calidad de las imágenes reconstruidas se muestra a partir de diversas simulaciones en las que se utilizan las ACG. Adicionalmente, se lleva a cabo una comparación entre las aperturas codificadas tradicionales y las ACG con respecto a la tolerancia del ruido.

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Copyright (c) 2015 Nelson Eduardo Diaz, Hoover Fabian Rueda Chacon, Henry Arguello Fuentes

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