Abstract: Apparatuses and methods are disclosed that allow for the detection, identification and direction finding of search and rescue beacons in a variety of environments. The techniques may be used to identify a line of bearing (LOB) to 121.5 MHz rescue beacons found in aircraft (ELTs), marine beacons (EPIRBs), and personal locator beacons (PLBs). Multiple lines of bearing may be used to geo-locate a target emitter if so desired. The methods may utilize, for example, a handheld device that is designed for search and rescue activity. Additionally, this device may be able to decode a 406 MHz frequency beacon that communicates with the satellite system that is controlled by COSPAS SARSAT. This constellation of rescue satellites coordinates the location of 406 MHz rescue beacons.

Abstract: Apparatuses and methods are disclosed that allow for the detection, identification and direction finding of search and rescue beacons in a variety of environments. The techniques may be used to identify a line of bearing (LOB) to 121.5 MHz rescue beacons found in aircraft (ELTs), marine beacons (EPIRBs), and personal locator beacons (PLBs). Multiple lines of bearing may be used to geo-locate a target emitter if so desired. The methods may utilize, for example, a handheld device that is designed for search and rescue activity. Additionally, this device may be able to decode a 406 MHz frequency beacon that communicates with the satellite system that is controlled by COSPAS SARSAT. This constellation of rescue satellites coordinates the location of 406 MHz rescue beacons.

Abstract: This document discusses, among other things, target, e.g., a vehicle, detection methods and systems that can identify, track, and positionally locate the vehicle using passive sensing of stray signals emitted by a target. The detector can be handheld, in an example, with computing devices, interchangeable antenna units, and a display. The antenna can offer desired gain at specific frequencies of interest. The computing devices can determine the location of the target, e.g., vehicle, aircraft, to within one degree of accuracy. The display can provide this data to a user. In an example, the detector can be a standalone device. In an example, the detector is part of a system that includes a server that can receive data from a plurality of detectors and transmit instructions to the detectors.

Abstract: A user captures an original digital image, which is then selected for post-processing within the image capture device. The user selects a number of images from a defined list of multiples. The image capture device then down-samples the original image and duplicates the down-sampled image to create multiple tiles of the original image. Optionally, the tiled image may then be stored in a memory by the image capture device.

Abstract: A user provides a plurality of video frames for processing, and selects a cartoon color palette. The color of all selected pixels within all selected video frames is changed to that of the closest match in color within the cartoon color palette and is stored in a memory. Optionally, the user may create a custom cartoon color palette, and may select less than all of the pixels in any given video frame for processing.

Abstract: An image capture device includes a processor configured to generate pseudo-random numbers. Optionally, these pseudo-random numbers may use a portion of an image as a seed for the random number generator. These random numbers are used in the post-processing of digital images to create a variety pseudo-random image effects such as; unique frame colors, line thicknesses, line and/or shape placements, image copies, filter strengths, shape choices and color blends. These effects are applied to a selected digital image creating a unique final image.

Abstract: A user provides a graphical representation of a desired image capture device control parameter curve with respect to time. A digital image of the graphical representation of a desired image capture device control parameter curve is captured. The digital image is analyzed by a processor that generates necessary control parameters as defined by the desired image capture device control parameter curve. The processor uses the resulting control parameters to control an image capture device during an image capture session.

Abstract: A user provides a graphical representation of a desired image post-processing parameter curve. A first digital image of the graphical representation of a desired image post-processing parameter curve is captured. The first digital image is analyzed by an image processor that generates necessary post-processing parameters as defined by the desired image post-processing parameter curve. The image processor uses the resulting post-processing parameters to modify a second digital image.

Abstract: A user captures a digital image, which is then selected for post-processing within the image capture device. The image capture device decompresses the full size image, and buffers any metadata associated with the image. As a user applies each post-processing effect to the image, effect parameters are added to the metadata for the image. Upon completion of post-processing the effect parameters from the metadata are stored in a separate custom effect file. The image capture device then is able to perform the series of effects upon subsequent images after reading the effect parameters from the custom effect file.

Abstract: First and second digital images are provided. A user is given the choice of using the first image as a texture or a border for the second digital image. A portion of the first image may be selected for use as the texture or border. As necessary, the first and second images may be resized. The two images are overlayed (with appropriate amounts of transparency for the generation of textures). If necessary, the first image may be tiled to completely cover the second image (for a texture), or to surround the second image (for a border).

Abstract: Methods of improving an image captured by a digital camera are disclosed herein. One embodiment of the method comprises providing information regarding changing at least one camera setting if the following conditions are met: the image is out of focus; the image was captured using an ISO above a preselected value; the camera was able to obtain a focus lock during image capture; the camera was below a predetermined handheld limit during image capture; the light intensity at the time of image capture was below a predetermined value; and a strobe associated with the digital camera was not activated during image capture.

Abstract: A method of analyzing images captured using an imaging device is provided herein. The analysis provides suggestions for changing a parameter of the imaging device during subsequent image capture.