The field of view and resolution of marco images enhanced by modified superresolution method

The properties of the image acquired from a general camera contain a large field of view (FOV) and low resolution. In contrast, the microscopy usually offers higher magnification image a smaller FOV but high resolution. This study attempts to develop a modified super resolution (MSR) method to obtain both of high resolution and large FOV properties for criminal identified microscopic images. The MSR method can analysis the image's pixels either from the intensity of single point (ISP) or the intensity of neighbor point (INP), when a microscopic image (150X) captured under white light, and three macro images (60X) captured under three different wavelength lights (red-620nm, green-520nm and blue-460nm), and then can reconstruct a new criminal identified image with high resolution and large FOV. Finally the simulated experiments in an ant model show that, the ISP analysis offers a reconstructed image with higher contrast and identification degree, synchronously the INP analysis affords an image has smoother edge.

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