5 research outputs found
An FPGA implementation of pattern-Selective pyramidal image fusion
The aim of image fusion is to combine multiple images (from one or more sensors) into a single composite image that retains all useful data without introducing artefacts. Pattern-selective techniques attempt to identify and extract whole features in the source images to use in the composite. These techniques usually rely on multiresolution image representations such as Gaussian pyramids, which are localised in both the spatial and spatial-frequency domains, since they enable identification of features at many scales simultaneously. This paper presents an FPGA implementation of pyramidal decomposition and subsequent fusion of dual video streams. This is the first reported instance of a hardware implementation of pattern-selective pyramidal image fusion. Use of FPGA technology has enabled a design that can fuse dual video streams (greyscale VGA, 30fps) in real-time, and provides approximately 100 times speedup over a 2.8GHz Pentium-
Análisis de tĂ©cnicas de fusiĂłn de imágenes para su uso en fotografĂa digital
Desde su apariciĂłn, el mercado de las cámaras digitales no ha dejado de crecer. Ante el aumento de la oferta, los consumidores se inclinan cada vez más por los productos con funciones adicionales que faciliten su uso. El propĂłsito de este trabajo es estudiar los mĂ©todos más relevantes existentes actualmente en relaciĂłn a la fusiĂłn de imágenes para decidir cuál se podrĂa incorporar en una cámara para obtener fotografĂas con una mayor profundidad de campo y con una calidad de la imagen aceptable.
[ABSTRACT]
From his appearance, the market of the digital cameras has not stopped growing. With the increase of the offer, the consumers incline increasingly for the products with additional functions that facilitate its use. The intention of this work is to study the most relevant existing methods nowadays related to the image fusion. This is intended in order to decide which one could be embedded in the camera devices for obtaining images with a depth of field and simultaneously with an acceptable image quality