Showing papers on "Channel (digital image) published in 1981"

Recording method of color video signal

Abstract: PURPOSE:To ensure a high-quality record/reproduction of the digital signal, by dividing the odd-numbered sample of the quantized digital signal into N/2 blocks (even number of N>=2)and then setting a channel in every block. CONSTITUTION:The color video signal is quantized at the A/D converter 13 and with the sampling frequency 4fc and then turned into the 768-sample digital signals D1-D768 with every effetive data in each horizontal period. And the 192- sample signals D1-D383 of the odd number in the first half of the signals D1- D768 are distributed to the channel A. And the latter-half odd-numbered 192-sample signals D385-D767 are distributed to the channel C. Furthermore, the first-half even-numbered 192-sample digital signals D2-D384 are distributed to the channel B along with the latter-half even-numbered 192-sample signals D386-D768 distributed to the channel D respectively. In such way, a high-quality record/reproduction of digital signals is ensured by trimming the carrier color signals during a high- speed searching.

Arrangement for the automatic adjustment of at least one object

Abstract: An arrangement for the automatic adjustment of at least one object, for instance a semiconductor disc and a template vis-a-vis a photoelectric measuring and scanning system, and of two objects in relation to each other in step-wise projection lithography for the manufacture of semiconductor structures. The purpose of this invention is to provide a highly accurate and at the same time quickly adjustable means for the adjustment of two objects, under the selective utilization of the different adjustment marks presently used, based on the thereby influenced light currents as well as their structure. An image of the adjustment marks of both objects is produced by means of an optical reproduction system in the scanning plane of a photoelectric measuring and scanning system, symmetrical to a stationary axis of this system. For obtaining the image, two image segments are situated on the stationary axis and separated by an intermediary rod, which the image segments being produced with the aid of electronical or mechanical means. There is thus produced a two-beam process. Image scanning is effected by means of a television camera tube or movable slotted carriers, wherein the two image segments can be alternately employed for producing the image by channel switching. The video signals are processed by a computer which releases control signals to the final control elements for adjustment of the two objects.

Color displayer for fish detector

Abstract: PURPOSE:To make possible to grasp complicated echo signals properly by switching echo signal groups at every certain scanning lines and displaying them in turn. CONSTITUTION:Received signals are written in real time into a high speed reading circuit 101 for controlling a Braun tube, the circuit reads out the signals of each channel at a high speed corresponding to the display time of the Braun tube 102, obtaining output voltages EG, EY and ER so as to dispaly green, yellow and red for each frequency in preset divisions, and the output voltages are applied to the color Braun tube 102. By so doing, the first channel is colored in green, the second channel in yellow and the third channel in red, and the colors are displayed in turn at every certain width.

Nonstationary Statistical Image Models (and Their Application to Image Data Compression)

Abstract: Publisher Summary This chapter explores the transformations of a nonstationary image that would yield an image that satisfies the stationary model assumptions. Statistical image models are frequently employed in some current procedures of digital image processing. The models are essentially made implicit by the adoption of assumptions that incorporate certain model assumptions within them. Little has been done in analyzing or processing images on the basis of assumptions other than a stationary process. What has been done has shown that favorable results come from abandoning the stationary process assumption. In almost any situation, the virtue of abandoning the statistically stationary image model can be understood if it is recalled what an image that is truly stationary looks like. The most convenient example of a statistically stationary image is to tune a television set to channel where no station is broadcasting. What is remarkable is that algorithms incorporating the stationary assumption produce usable results.