Abstract: The present invention relates to an apparatus for reducing motion blur in a video signal, comprising an analysing means for determining edge characteristics of an input video signal and for providing motion estimation of an edge within said input video signal, generation means for generating a synthetic detail signal dependent on said edge characteristics and said motion estimation, and an adding means for adding the detail signal to the edge within the input video signal and outputting an output video signal. The present invention further relates to a method for reducing motion blur in a video signal.

Abstract: The present invention relates to a method for interpolating a subpixel at an interpolation position, which is situated in the chronological order between two source frames. Thereby the calculation of the interpolated subpixel's value is based on the value of the pixels of the two source frames and additional weighting coefficients, which are based on the motion vectors correlating the two source frames.

Abstract: A method for discriminating textured regions and homogeneous or flat regions in an image. A multi-scale or multi-resolution measurement is performed with respect to the image. Alternatively or additionally, the image is analyzed by using a prior measured noise value and a local variance value in or with respect to the image.

Abstract: A method for improving the sharpness of pictures contained in a video signal comprises the steps of: a) processing said pictures on the basis of a step/edge enhancement algorithm to obtain step/edge enhanced pictures, b) processing said pictures on the basis of a texture enhancement algorithm to obtain texture enhanced pictures, and mixing said step/edge enhanced pictures with said texture enhanced pictures to obtain a video signal containing sharpness-improved pictures, wherein steps a) and b) are performed in dependence of motion information being related to said pictures.

Abstract: The invention relates to a method for deriving noise statistical properties (NSP) for a signal (S) wherein first distorted noise statistical properties (DNSP) are derived from a distorted signal (DS). In addition the distorted noise statistical properties (DNSP) are subjected to a deconvolution/inversion process (S3) to thereby derive un-distorted noise statistical properties (NSP) for said underlying un-distorted signal (S).

Abstract: It is proposed a method for writing data in a system with alignment restriction, wherein first destination data (22?) generated from first source data (21?) located in a storage range (21) starting at a first source position (21a) are written in a storage range starting (22) at a non-aligned position (22a). Said method comprises the steps of extracting second source data (27?) from a storage range (27) starting at a second source position (27) a preceding the first source position (21a), said second source data (27?) comprising said first source data (21?), generating (23) second destination data (24?) from said second source data (27?), said second destination data (24?) comprising said first destination data (22?), writing said second destination data (24?) in a storage range (24) starting at an aligned position (24a), wherein the second source position (24?) is set such that said first destination data (22?) are written in a storage range starting at said non-aligned position (22a).

Abstract: An adaptive histogram equalization method is introduced which allows the histogram equalization amount to automatically adapt to the original image contrasts, which can be measured from the originals. Contrast over-enhancement is avoided by limiting the spatial frequency response of the histogram. Besides that, methods to remedy the brightness change problem encountered by histogram equalization are described.

Abstract: A method for processing digital image data (ID) is proposed wherein a step (B) of processing digital image data (ID) comprises or realizes a sub-step (B?) of image improvement with respect to said digital image data (ID) which uses or which is based on a process of re-mapping (REM) together with a process of dithering (DIT).

Abstract: A method for synchronizing video signals is provided wherein a synchronization state signal is generated which is descriptive for the synchronization of an output of fields/frames with the respective input of respective fields/frames of an underlying video data screen in particular on the basis of a time difference which is given by respective counted times and/or temporal changes and/or variations thereof.

Abstract: A method for improving the sharpness of pictures contained in a video signal comprises the steps of: a) processing said pictures on the basis of a step/edge enhancement algorithm to obtain step/edge enhanced pictures, b) processing said pictures on the basis of a texture enhancement algorithm to obtain texture enhanced pictures, and mixing said step/edge enhanced pictures with said texture enhanced pictures to obtain a video signal containing sharpness-improved pictures, wherein steps a) and b) are performed in dependence of motion information being related to said pictures.

Abstract: An adaptive histogram equalization method is introduced which allows the histogram equalization amount to automatically adapt to the original image contrasts, which can be measured from the originals. Contrast over-enhancement is avoided by limiting the spatial frequency response of the histogram. Besides that, methods to remedy the brightness change problem encountered by histogram equalization are described.