Abstract: In a method of interpolating sample values (f) of samples (Pi, Pot) of an image, a direction of a local gradient (8) of the sample values (f) for a particular one of the samples (Pi, Pot) is determined (1) from sample values (f) neighboring the particular one of the samples (Pi, Pot). The positions of interpolator input values (ai) are selected (20) in the direction of the local gradient (8) of the particular one of the samples (Pi, Pot). The interpolator input values (ai) for the particular one of the samples (Pi, Pot) are interpolated (21) from pixel values (f) neighboring the interpolator input values (ai). And, a warping factor (A) for a warped distance interpolating (3) is determined (22) using the interpolator input values (ai).

Abstract: In a method of text improvement, image text in an image is detected (SW, Det), the image is scaled (Scal) to adjust first numbers of pixels per line and lines per image of the image to second numbers of pixels per line and lines per image that fit in with a display (D) on which the image is to be displayed, and the image is processed (Post-proc) in dependence on a result of the text detection.

Abstract: A text discrimination method includes scanning a line of an electronically generated image; estimating the background segment of the scanned image line, and analyzing the difference between an estimated background segment and a non-background segments to determine if the non-background segments form part of a text portion of the image.

Abstract: A method of converting an input video signal (IV) with an input resolution into an output video signal (OV) with anoutput resolution comprises the steps of labeling (10) input pixels of the input video signal (IV) being text as input text pixels to obtain an input pixel map (IPM) indicating which input pixel is an input text pixel, and scaling (11) the input video signal (IV) to supply the output video signal (OV), wherein the scaling (11) is dependent on whether the input pixel is labeled as input text pixel.

Abstract: A method of distinguishing areas of natural and synthetic content in video information represented by pixels arranged in a matrix of lines is disclosed. A luminance histogram (hist(L)) of pixel values for each line of the matrix is created. The distances (d) between each of the histogram values for each line are then determined. A line is classified as containing natural content if the majority of distances (d) is less than or equal to a predetermined value. Neighboring lines containing natural content are then grouped together to create groups of natural content. The process can then be repeated a predetermined number of times to more precisely define areas with natural content.

Abstract: The invention provides for a text discrimination method comprising scanning a line of an electronically generated image and characterized by estimating the background segment of the scanned image line, and analyzing the difference between an estimated background segment and a non-background segments to determine if the non-background segments form part of a text portion of the image.

Abstract: In a method of text improvement, in an image text is detected (SW, Det), the image is scaled (Scal) to adjust first numbers of pixels per line and lines per image of the image to second numbers of pixels per line and lines per image that fit in with a display (D) on which the image is to be displayed, and the image is processed (Post-proc) in dependence on a result of the text detection.