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Showing papers on "Histogram equalization published in 1982"


Patent
16 Feb 1982
TL;DR: In this article, an arithmetic unit with a histogram memory determines the histogram of a video image, and a processing circuit is connected to the memory to calculate correction values from the histograms.
Abstract: An exemplary embodiment operates according to the principle of non-linear manipulation of the brightness distribution of video pictures by means of matching the brightness distribution (histogram) to a prescribed function F(H). An arithmetic unit with a histogram memory determines the histogram of a video image. A processing circuit is connected to the histogram memory and calculates correction values from the histogram for example during a vertical blanking interval so as to convert the current image point information into corrected image point information in accord with the prescribed function F(H), the corrected information being read into a correction memory. The image point information of a video image is supplied to the address input of the correction memory for conversion in accord with the correction values stored there.

24 citations



Book ChapterDOI
Theo Pavlidis1
01 Jan 1982
TL;DR: There are two major types of gray scale image processing: within class transformations, such as filtering and image enhancement, and class 1 image to class 2 image transforms,Such as segmentation, which are presented in the next chapter.
Abstract: There are two major types of gray scale image processing: within class transformations, such as filtering and image enhancement, and class 1 image to class 2 image transforms, such as segmentation. Most methods for performing such processing use, directly or indirectly, statistics computed on images. We shall discuss two of them, the histogram of distribution of gray levels (in Section 3.2), and the cooccurrence matrix of pairs of gray levels at pixel pairs (in Section 3.3). Their applications in filtering are discussed in Sections 3.4 and 3.5, while their use for segmentation is presented in the next chapter.

1 citations


Proceedings ArticleDOI
Zvi Orbach1
28 Dec 1982
TL;DR: A system performing histogram equalization for video signal will be presented and some of the future applications of the system will be discussed.
Abstract: A system performing histogram equalization for video signal will be presented. A closed circuit TV system will be used to give a live demonstration of the system. The performance and evaluation results will be discussed. We shall present a size and cost evolution of the system from 1979 through 1982 to 1984 and discuss some of the future applications.© (1982) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

1 citations


01 Aug 1982
TL;DR: The I(2)S is the principal interactive display allowing interaction via a trackball, four buttons under program control, or a touch tablet as mentioned in this paper, allowing simple image processing operations such as contrast enhancing, pseudocoloring, histogram equalization, and multispectral combinations to be executed at the push of a button.
Abstract: Radiation budget studies of the atmosphere/surface system from Meteosat, cloud parameter determination from space, and sea surface temperature measurements from TIROS N data are all described This work was carried out on the interactive planetary image processing system (IPIPS), which allows interactive manipulationion of the image data in addition to the conventional computational tasks The current hardware configuration of IPIPS is shown The I(2)S is the principal interactive display allowing interaction via a trackball, four buttons under program control, or a touch tablet Simple image processing operations such as contrast enhancing, pseudocoloring, histogram equalization, and multispectral combinations, can all be executed at the push of a button

Journal ArticleDOI
G. Nirschl1
TL;DR: Global contrast enhancement by means of linear histogram stretching proved to be most suitable in target detection, in comparison with histogram equalization or histogram hyperbolization, and local enhancement techniques and zoom operations resulted in an essential increase of observer performance.