Abstract: An aerial imaging system for transferring pictures captured from two or more imaging devices includes an aerial node and a ground node. The aerial node has two or more channels, each for acquiring at least one picture from a corresponding imaging device. The aerial node is configured to transfer the acquired pictures. The ground node is configured to present the acquired pictures from the two or more imaging devices.

Abstract: A method includes capturing a first image of an object at a first time using a camera and assigning shade values to a plurality of pixels in a portion of the first image. The object includes a light portion and a dark portion that is darker than the light portion. The method further includes identifying a first mode value of the shade values corresponding to the light portion of the object in the first image, and identifying a second mode value of the shade values corresponding to the dark portion of the object in the first image. The method further includes determining a difference between the first and second mode values, and determining a contrast of the first image based on the difference.

Abstract: Various techniques are provided for reducing noise in captured image frames. In one example, a method includes determining row values for image frames comprising scene information and noise information. The method also includes performing first spectral transforms in a first domain on corresponding subsets of the row values to determine first spectral coefficients. The method also includes performing second spectral transforms in a second domain on corresponding subsets of the first spectral coefficients to determine second spectral coefficients. The method also includes selectively adjusting the second spectral coefficients. The method also includes determining row correction terms based on the adjusted second spectral coefficients to reduce the noise information of the image frames. Additional methods and systems are also provided.

Abstract: There are provided an image processing apparatus, an image processing method, a program, and a recording medium capable of compatibly achieving a high-accuracy filtering process and reduction in a necessary storage capacity. An image processing apparatus 35 includes a filtering process unit 41 that performs an image filtering process including a plurality of filtering processes. The filtering process unit 41 applies a filter to processing target data to acquire filter application process data, and applies a gain to the filter application process data to acquire gain application process data, in each filtering process. In each filtering process, the gain applied to the filter application process data is acquired based on a target frequency characteristic of the image filtering process determined according to a pixel position in original image data.

Abstract: A dynamic range optimization display system includes at least one processor coupled with a non-transitory processor-readable medium storing processor-executable code for causing the at least one processor to receive the input image data, generate a histogram of the input image based on the input pixel intensity values, modify the histogram to adjust the brightness and contrast of an output image, integrate the histogram to create a cumulative histogram, select a sequence of knots for an intensity transfer function, determine an input intensity for each knot, determine an output intensity for each knot, determine an output pixel intensity value for each pixel of the plurality of pixels by linearly interpolating the output pixel intensity value between output intensities of two bounding knots using an interpolant, and provide output image data to a display where the output image data is indicative of an output image having the determined output pixel intensity values.

Abstract: A digital video rescaling system is provided. The system includes an image data input configured to receive input support pixels y1 to yn and a sharpness control module configured to generate a sharpness control parameter Kshp. The system further includes an interpolated pixel generator configured to use an adaptive interpolation kernel to generate an interpolated pixel ys based on the input support pixels, and adjust a sharpness of the interpolated pixel ys based at least partly upon the sharpness control parameter Kshp. The system also includes a de-ringing control unit to adjust the ringing effect of the interpolated pixel based on a local image feature Kfreq, and an output module configured to output the adjusted interpolated pixel for display.

Abstract: A method of enhancing the contrast of image or video data may include applying a contrast increasing transfer function to a reference image to generate an enhanced image. A transformation may be applied to the reference image to generate reference high frequency components and may also be applied to the enhanced image to generate enhanced high frequency components. For a pixel in the reference image, whether a corresponding enhanced high frequency component has a higher energy than a corresponding reference high frequency component may be determined. The method may also include replacing the pixel in the reference image with a corresponding pixel in the reference image if the corresponding enhanced high frequency component has a higher energy than the corresponding reference high frequency component.

Abstract: The detail in an image can be enhanced by selective filtering to separate at least one part of the frequency spectrum of the image from a remaining part of the image. The amplitude of the separated part of the frequency spectrum of image is changed and the amplitude-changed portion is combined with the remaining part of the image. The filtering and/or the change in amplitude is controlled at least in part in response to the content of the image to enhance the detail level of the image where appropriate, while preventing enhancement in areas of the picture where it is likely that artifacts would be generated.