Abstract: A method for spatially-adaptive tone mapping in an image having high dynamic range includes using a computing device to receive an input image from an image sensor comprising a plurality of pixels having pixel locations and determine within the input image a plurality of local size scales, each comprising a neighborhood having substantially constant illumination. The variation in reflectance within each neighborhood is estimated and local contrast within each neighborhood is enhanced. Using the illumination and variation within the contrast-enhanced neighborhoods, the image is remapped to a reduced dynamic range to generate an output image.

Abstract: A method for determining a level of haze within a field of view of an image sensor adapted for detecting a plurality of color components includes collecting a first image of the field of view at a first point in time, defining regions of the first image as a reference and determining reference intensities for each color component. At least one second image is collected at different points in time and intensities for each color component are determined and compared against the reference intensities. If the intensities of second image differ from the reference intensities by more than a predetermined threshold, all or a portion of the second image is designated as being obscured by haze and requiring correction.

Abstract: A method and system for increasing the detection, location, identification or classification of objects hidden on the surface or buried below the surface of the ground is disclosed. The method acquires image data in separate IR and/or visible spectral regions simultaneously and converts the data into intensity value arrays for each spectral region. These intensity value arrays are transformed into two-dimensional discrete wavelet transform arrays for each spectral region. The background clutter from the two-dimensional discrete wavelet transform arrays is removed; forming clutter reduced two-dimensional discrete wavelet transform arrays. The inverse two-dimensional discrete wavelet transform is performed on the clutter reduced two-dimensional discrete wavelet transform arrays to form clutter removed intensity value arrays. These arrays are subtracted in a pair-wise mariner to obtain chemical-specific spectral signatures.

Abstract: The multispectral imaging system provides detection of low contrast objects on or below the surface of a body of water through the elimination of most of the surface reflected light clutter components from multispectral images. The images are processed by taking the weighted difference of two or more spectral components and applying a demeaning or whitening filter to the result. The images can then be frame averaged where the appropriate corrections for motion, magnification, rotation, and translation have been applied. The resultant imagery can then be displayed to an operator or transmitted to a remote location.