Abstract: A method of processing image data that includes identifying picture elements of a first image portion having a first hue and a first saturation assigned to the first hue, the first hue lying in a first critical hue interval, identifying picture elements a second image portion having a second hue and a second saturation assigned to the second hue, the second hue lying in a second critical hue interval, and changing the first saturation by an amount delta S, at least one of the first and the second hues not being changed, and the delta S varying for picture elements lying in the first image portion.

Abstract: A method of processing image data comprises identifying picture elements of a first image portion having a first hue and a first saturation assigned to the first hue, the first hue lying in a first critical hue interval, identifying picture elements a second image portion having a second hue and a second saturation assigned to the second hue, the second hue lying in a second critical hue interval, and changing the first saturation by an amount delta S. According to an embodiment, at least one of the first and the second hues is not changed. According to a further embodiment, delta S varies for picture elements lying in the first image portion.

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.