Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for intra-shot dynamic LIDAR detector gain. One example method my include receiving first image data associated with a first image of an object illuminated at a first wavelength and captured by a camera at the first wavelength, the first image data including first pixel data for a first pixel of the first image and second pixel data for a second pixel of the first image. The example method may also include calculating a first reflectance value for the first pixel using the first pixel data. The example method may also include calculating a second reflectance value for the second pixel using the second pixel data. The example method may also include generating, using first reflectance value and the second reflectance value, a first reflectance distribution of the object.

Abstract: A first image reading chip for reading an image of a first surface of a medium includes a first pixel portion that outputs a first pixel signal, a first output circuit that outputs a signal based on the first pixel signal, and a first output selection unit that selects a first drive capability as a drive capability of the first output circuit, and a second image reading chip for reading an image of a second surface of a medium includes a second pixel portion that outputs a second pixel signal, a second output circuit that outputs a signal based on the second pixel signal, and a second output selection unit that selects a second drive capability as a drive capability of the second output circuit.

Abstract: A method for adapting the brightness of an X-ray image is provided. The X-ray image is recorded using a filter attenuating X-ray radiation used for recording the X-ray image differently in at least two spatial filter regions. The method includes determining image regions mapping the filter regions from filter parameters and recording geometry parameters describing the filter regions from at least one evaluation line running perpendicular to a boundary between image regions. The method also includes determining, for each evaluation line, a correction value describing a difference in brightness between the image regions from an image value profile along the evaluation line in an evaluation area containing the boundary, determining at least one correction factor from the at least one correction value, and adapting the brightness between the at least two image regions by scaling the image values with the correction factor.

Abstract: Embodiments of the disclosure provide an image amplifying method, an image amplifying device, and a display apparatus, and relate to field of image processing technique, the method comprises: obtaining, by an image amplifying device, high-frequency and low-frequency components of a source image; performing, by the image amplifying device, pixel interpolation on the low-frequency components of the source image through a first interpolation algorithm, to obtain a low-frequency sub-image; performing, by the image amplifying device, pixel interpolation on the high-frequency components of the source image through a second interpolation algorithm, to obtain a high-frequency sub-image; and merging, by the image amplifying device, the low-frequency and high-frequency sub-images, to obtain a merged image; wherein the first interpolation algorithm and the second interpolation algorithm adopt different algorithms, so that it can ensure image quality of the amplified image while reducing the operation amount.

Abstract: The present invention provides systems and methods to automatically analyze Landsat satellite data of forests. The present invention can easily be used to monitor any type of forest disturbance such as from selective logging, agriculture, cattle ranching, natural hazards (fire, wind events, storms), etc. The present invention provides a large-scale, high-resolution, automated remote sensing analysis of such disturbances.