Mstar Semiconductor, Inc.

Scott Jen

Yu-Jen Wang

Yu-Sen Lin

An image de-interlacing method comprises: (a) defining a first threshold value and a second threshold value, wherein the second threshold value is larger than the first threshold value; (b) generating a parameter according to motion level of a interlaced image; and (c) utilizing a first interpolation method and a second interpolation method to jointly process the interlaced image if the parameter is in a range between the first threshold value and the second threshold value.

Method and related apparatus for image de-interlacing

A display controller capable of detecting data line similarity is provided. The display controller includes a buffer for temporarily storing a plurality of data lines of a target field, a data line similarity detector, coupled to the buffer, for detecting a similarity of each data line of the target field, a data line state recorder for recording the similarity of each data line of the target field, a de-interlacer coupled to the buffer, and a scaler coupled to the de-interlacer, wherein the de-interlacer selectively de-interlaces the target field according to the content stored in the data line state recorder in order to generate a de-interlaced output, and the scaler generates a scaling output according to the de-interlaced output.

Method of processing fields of images and related device for data lines similarity detection

An edge adaptive de-interlacing apparatus and method are disclosed. The edge adaptive de-interlacing apparatus includes a complexity detection module, a qualifier, a comparator and a mixer. The complexity detection module detects complexity associated with a target pixel. The qualifier is coupled to the complexity detection module for generating similarity of at least one possible edge angle in response to the complexity. The comparator is coupled to the qualifier for comparing the similarity of the at least one possible edge to select a preferred edge angle. The mixer is coupled to the comparator for generating pixel data of the target pixel according to the preferred edge angle.

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Hsin-Chu, Taiwan

Scott Jen