TO determine gamma and gray balance, a set of gray elements is displayed against a dithered gray background representing a gray level of approximately 25 to 40 % and, more preferably, approximately 33 %.
In the case of an objective pixel, it is converted into a first gray level, i.e. an average value of n (an integer of 2 or above) gray levels selected from among the display gray levels.
Then, a binary gray image is generated, for a gray image comparatively low in gray level, from multivalue image data via the (N*N) * (N*N) mask matrices.
The display control means is capable of displaying content displayed by an application by means of a first image with a first gray level or by means of a second image with a second gray level lower than the first gray level.
For this purpose it is known to select gray level thresholds between structures based upon the location of corresponding peaks in the gray level histogram of the digital image.
Processing of grey levels is done independently of the original grey level values of pixels in the image being processed.
The control unit provides a computed simulation of the latent image grey level and adjusts the programmed exposure factors in order to establish the grey level of the latent image at the required reference value.
Thus, grey level resolution of the display can be increased to match the higher grey level resolution of the video data provided to the display.
A first set of calibration data is determined based on a comparison between an actual grey level on said card and a known reference grey level.
A method for binarizing a gray-level input image (20) including a plurality of pixels having respective gray-level values.
An iterative global gray-level thresholding method (20) is applied based on the features of a global gray-level histogram.
Gray scale voltage of polarity opposite to that of the gray scale voltage supplied to the two signal lines (13) is supplied to the additional signal line (13D).
The detection system and method for automatically adjusting grayscale can automatically change the grayscale of the substrate alignment image (11), thereby improving the degree of automation of the detection system.
The contrast or separation between the foreground level of gray and the background level of gray produced by this preliminary translation is then compared to parameters set by the operator.
The pixel is then driven from this first desired intermediate gray level to the opposed extreme optical state and thence to a second desired intermediate gray level, so producing a second image on the display.