Image conversion

About: Image conversion is a research topic. Over the lifetime, 2490 publications have been published within this topic receiving 19077 citations.

Passive IFF: Autonomous Nonintrusive Rapid Identification of Friendly Assets

Abstract: A proposed optoelectronic instrument would identify targets rapidly, without need to radiate an interrogating signal, apply identifying marks to the targets, or equip the targets with transponders. The instrument was conceived as an identification, friend or foe (IFF) system in a battlefield setting, where it would be part of a targeting system for weapons, by providing rapid identification for aimed weapons to help in deciding whether and when to trigger them. The instrument could also be adapted to law-enforcement and industrial applications in which it is necessary to rapidly identify objects in view. The instrument would comprise mainly an optical correlator and a neural processor (see figure). The inherent parallel-processing speed and capability of the optical correlator would be exploited to obtain rapid identification of a set of probable targets within a scene of interest and to define regions within the scene for the neural processor to analyze. The neural processor would then concentrate on each region selected by the optical correlator in an effort to identify the target. Depending on whether or not a target was recognized by comparison of its image data with data in an internal database on which the neural processor was trained, the processor would generate an identifying signal (typically, friend or foe ). The time taken for this identification process would be less than the time needed by a human or robotic gunner to acquire a view of, and aim at, a target. An optical correlator that has been under development for several years and that has been demonstrated to be capable of tracking a cruise missile might be considered a prototype of the optical correlator in the proposed IFF instrument. This optical correlator features a 512-by-512-pixel input image frame and operates at an input frame rate of 60 Hz. It includes a spatial light modulator (SLM) for video-to-optical image conversion, a pair of precise lenses to effect Fourier transforms, a filter SLM for digital-to-optical correlation-filter data conversion, and a charge-coupled device (CCD) for detection of correlation peaks. In operation, the input scene grabbed by a video sensor is streamed into the input SLM. Precomputed correlation-filter data files representative of known targets are then downloaded and sequenced into the filter SLM at a rate of 1,000 Hz. When there occurs a match between the input target data and one of the known-target data files, the CCD detects a correlation peak at the location of the target. Distortion- invariant correlation filters from a bank of such filters are then sequenced through the optical correlator for each input frame. The net result is the rapid preliminary recognition of one or a few targets.

Image conversion system

Abstract: PROBLEM TO BE SOLVED: To provide an image conversion system, in which which profile among corresponding color profiles an individual device uses or which font the individual device uses can be confirmed, changed or integrated. SOLUTION: In this image conversion system, a main server 1 has registration instruction function, and a color profile and a font used for conversion processing function 3 of the image conversion system correspond to main server specification information and an application registered in a conversion-instructed color profile font database. COPYRIGHT: (C)2007,JPO&INPIT

Mist display device and image correction device

Abstract: PROBLEM TO BE SOLVED: To suppress or reduce the disturbance of an observed projection image without correcting the disturbance of a droplet film.SOLUTION: A mist display device (11) comprises: a projection image estimated distortion data calculator (83) which calculates the distortion of an image projected on a droplet film (3); an image conversion matrix generator (84) which calculates a correction value for reducing the calculated distortion; and a correction processor (85) which corrects the image projected on the droplet film (3) with the calculated correction value.SELECTED DRAWING: Figure 1

Apparatus for monoscopic to stereoscopic image conversion in television

Abstract: PURPOSE: A device for realizing a stereoscopic image in a television is provided to watch a two-dimensional image as a three-dimensional image in watching a TV or a VTR without an extra program for converting an image CONSTITUTION: A synchronizing separation unit(102) separates a vertical synchronous signal, a complex synchronous signal, and field separation signals A horizontal synchronous signal generating unit(104) receives the complex synchronous signal for generating a delayed horizontal synchronous signal A two-field separation unit(103) receives the vertical synchronous signal and the field separation signals for separating an odd field and an even field A mixer(110) mixes outputs of a first field image switching unit(106) and a second field image switching unit(109) to realize a stereoscopic image

Gradation correction method, gradation correction device, gradation correction program and image apparatus

Abstract: PROBLEM TO BE SOLVED: To correct a person image photographed under backlight to an image with sufficient visibility.SOLUTION: A face detection section 1 detects presence or absence and a position of a face from an input image or a reduced image of the input image. A parameter calculation control section 2 controls a calculation method of a correction parameter in accordance with presence or absence of the face. When the face is detected, a face region correction parameter calculation section 3 calculates the correction parameter having a characteristic to correct the image to be darker as a representative luminance value is higher and to be brighter as the value is lower on the basis of a boundary luminance level which is previously determined in a luminance value with which a color of the skin is preferably displayed in response to the representative luminance value calculated from a center region of the detected face. When the face is not detected, a standard correction parameter calculation section 4 calculates the correction parameter on the basis of image data of the input image or the reduced image of the input image irrespective of an image content. An image conversion section 5 corrects gradation by converting a pixel value of the input image by using the obtained correction parameter.