Laplacian Pyramid Blending is a commonly used method for several seamless image blending tasks. While the method works well for images with comparable intensity levels, it is often unable to produce artifact free images for applications which handle images with large intensity variation such as exposure fusion. This paper proposes a spatially varying Laplacian Pyramid Blending to blend images with large intensity differences. The proposed method dynamically alters the blending levels during the final stage of Pyramid Reconstruction based on the amount of local intensity variation. The proposed algorithm out performs state-of-the-art methods for image blending both qualitatively as well as quantitatively on publicly available High Dynamic Range (HDR) imaging dataset. Qualitative improvements are demonstrated in terms of details, halos and dark halos. For quantitative comparison, the noreference perceptual metric MEF-SSIM was used.
In this paper, we describe the design and development of Flight Computer module of the nano-satellite of IIT Madras, named IITMSAT. The flight computer module uses a 32 bit ARM microcontroller from Freescale-KL46Z256VLL4 and handles the attitude control, beacon transmission and electrical power management functions. The data from the attitude sensors is used by the control algorithm to calculate the magnetic moment, and in turn the torque required to orient the satellite along the direction of the magnetic field of the Earth. Beacon signal is used to detect the visibility of the satellite by the ground station (GS) and to transmit some important health data of the satellite. Onboard power management is done by turning off the loads carefully to save power, whenever needed. Throughout the design phase, the cost was kept as low as possible, without compromising on the performance of the system.
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