Microsoft Technology Licensing, LLC

Wolfgang Schickler

David J Simons

Ido Omer

Leon Rosenshein

Yuxiang Liu

Robert Ledner

Bimal Kumar Mehta

Martin Josef Ponticelli

Michael Gruber

Maksim Lepikhin

Thomas Donald Barclay

Rob Ledner

Dingding Liu

Kartik Muktinutalapati

Khomkrit Kaowthumrong

Chintan Anil Shah

Corey Benjamin Goff, Jr

Techniques for atmospheric and solar correction of aerial images are described. An apparatus may comprise an atmospheric and solar component arranged for execution by a logic device and operative to correct solar and atmosphere artifacts from an aerial image. The atmospheric and solar component may comprise an image information component operative to generate an image record for each aerial image of a group of aerial images, the image record comprising statistical information and image context information for each aerial image, a filter generation component operative to generate an atmospheric filter and a solar filter from the statistical information and the image context information stored in the image records, and an image correction component operative to correct atmospheric and solar artifacts from the aerial image using the respective atmospheric filter and solar filter. Other embodiments are described and claimed.

Techniques for atmospheric and solar correction of aerial images

One or more techniques and/or systems are provided for image blending and/or facilitating image transitions. In an example, a map interface displays map information, such as of a town, through a visualization. A first image having a first level of detail and a first image type (e.g., satellite imagery of the town) may be displayed through the visualization. While zoomed into the town, a second image having a second level of detail and a second image type (e.g., aerial imagery of the town) may be displayed through the visualization. Instead of merely transitioning the visualization from displaying the first image to displaying the second image (during zooming), which may otherwise provide a visually abrupt transition, one or more intermediate blended images, having intermediate levels of detail between the first image and the second image, may be generated and displayed during the transition between the first image and the second image.

Cross-level image blending

Among other things, one or more techniques and/or systems are provided for quantifying blur of an image. Blur may result due to motion of a camera while the image is captured. Accordingly, motion measurement data corresponding to motion of the camera during an exposure event may be used to create a camera rotation matrix. A camera intrinsic matrix may be obtained based upon a focal length and principle point of the camera. A transformation matrix may be estimated based upon the camera rotation matrix and/or the camera intrinsic matrix. The transformation matrix may be applied to pixels within the image to determine a blur metric for the image. In this way, blur of an image may be quantified offline and/or in real-time during operation of the camera (e.g., so that the image may be re-acquired (e.g., on the fly) if the image is regarded as being overly blurry).

Image blur detection

A method for tone mapping a high dynamic range image of a large terrestrial area into a lower dynamic range image uses a globally aware, locally adaptive approach whereby local tonal balancing parameter values are derived from known tone mapping parameters for a local 3&#xd7;3 matrix of image tiles and used in turn to derive a local sigmoid transfer function for pixels in the tile in the middle of the matrix. A global sigmoid transfer function is derived based on values of the tone mapping parameters applicable to the entire image. A lower dynamic range image pixel will have a local tone mapped value and a globally tone mapped value, which are combined by giving each a weighted value to provide a final low dynamitic range pixel value.

Tone mapping of very large aerial image mosaic

A large format digital camera has a primary camera system configured for collecting panchromatic image data and two or more secondary camera systems configured for collecting color image data. Each of the secondary camera systems has an optical system that has a longer focal length than the optical system of the primary camera system. The resolution of each of the secondary camera systems is also greater than the resolution of the primary camera system. The footprint of images produced by the primary camera system is larger in size than the footprint of images produced by the secondary camera systems. Images produced by the primary camera system offer information for performing image-based georeferencing by means of photogrammetric triangulation. Images produced by the secondary camera systems offer a high-resolution narrow angle color image suitable for use in ortho image production.

Multi-resolution digital large format camera with multiple detector arrays

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Broomfield, CO, United States of America

Wolfgang Schickler