Improved spatial, temporal, and spatio-temporal noise reduction apparatus (10) and also apparatus for noise reduction in conjunction with one or several of the following functions: edge enhancement, spatial interpolation, magnification adjustment by spatial interpolation, and dynamic range compression (DRC). An embodiment of apparatus (10) comprises an image preprocessing unit (12), an estimation gain parameter computation unit (14) and a two-directional processor (16).

Apparatus and method for smoothing images

A method and apparatus for locating geometric shapes or edges thereof in data collection symbols initially samples and stores an image of light reflected from the symbol. Thereafter, two routines are performed. A first routine performs low level vision processing by identifying linked points along edges, lines, curves or within shapes. A rapid pixel linking subroutine identifies edge pixels in symbol images lacking distortion. If the edge or shape suffers from distortions, then one or more distortion compensating subroutines locate sequential linked pixels despite such distortions. The resulting coordinates of linked points, which represent lines, curves and other geometric shapes, are then employed by a second routine which identifies patterns within the identified lines/curves. Based on these identified patterns, types of symbols from various symbologies can be identified and located within the stored image.

Method and apparatus for automatic discriminating and locating patterns such as finder patterns, or portions thereof, in machine-readable symbols

A method and apparatus for locating geometric shapes or edges thereof in data collection symbols initially samples and stores an image of light reflected from the symbol. Thereafter, two routines are performed. A first routine performs low level vision processing by identifying linked points along edges, lines, curves or within shapes. At least one of three distortion compensating subroutines compensate for blocking, breaking, gaps or other severe distortions affecting shapes in the stored image. Under a first subroutine, an edge of a shape is tracked until a stopping condition occurs, at which point the shape is crossed so as to continue tracking on an opposite edge. Under a second subroutine, previously collected linear curve information is used to identify a jump point to continue tracking following a stopping condition. Under a third subroutine, mathematical morphology techniques are employed to close gaps or move blockage in shapes in the stored image. Coordinates of linked points, which represent lines, curves and other geometric shapes, from the first routine are then employed by a second routine which identifies patterns within the identified lines/curves. Based on these identified patterns, types of symbols from various symbologies can be identified and located within the stored image.

Non-linear image processing and automatic discriminating method and apparatus for images such as images of machine-readable symbols

A system is disclosed having a camera, a processor, and a user interface. The camera transmits image data responsive to a scene within a field of view. In response to the image data, the processor indicates whether a condition has been satisfied. The user interface is operably connected to the processor and allows a user to select criteria for detection of objects, for indicating criteria selected, and for providing visual confirmation that an object has been detected.

Sensor and imaging system

A high performance graphics applications controller having a core processor and a coprocessor to independently perform desired graphics functions is provided. The core processor and the coprocessor divides processing tasks to speed execution and to reduce the burden on the host CPU. A direct memory access (DMA) controller cooperates with the coprocessor to generate source and destination addresses and employs a unique set of commands to speed operation. The core processor employs a local CPU and data and address catches to locally perform desired graphics operations independently but in conjunction with the coprocessor. The present invention has particular application with smart terminals and wherever pixel oriented data is required.

High performance graphics applications controller

Edge definition in FLIR images is improved by assigning to each pixel (X) the average intensity value of that 3×3 pixel sub-matrix (30a-30i) containing the pixel (X) which exhibits the smallest edge value. Apparatus for obtaining that intensity value in real time is disclosed. This process can be iteratively repeated on the same image, with each iteration creating more enhanced edges and greater area smoothing between edges.

Edge enhancement and smoothing in digital images

A pre-processor (10) for target trackers is disclosed which allows several image analysis algorithms to be computed simultaneously so as to provide improved real-time target recognition. The pre-processor (10) is also equipped to compensate for the rapid rotation of the target image when the tracking aircraft performs abrupt turning maneuvers.

Mark A. Conboy

Papers

Edge enhancement and smoothing in digital images

Multi-function pre-processor for target tracking