Interlacing-removing device and method

Abstract

A deinterlacing apparatus and method use a buffer unit having a previous field buffer, a current field buffer, and a next field buffer to store, sequentially, individual fields of an image signal; calculate a Sum of Absolute Difference (SAD) value of a predetermined search region unit with reference to a next field stored in the next field buffer and a previous field stored in the previous field buffer; determine whether the predetermined search region is a still region and whether a source of the image signal is a film based on the SAD value; uses a 3D interpolation unit to output adaptively a temporal interpolation value and a spatial interpolation value based on motion information; and adaptively select a deinterlacing result based on the previous field, the next field, and an output of the 3D interpolation unit according to a signal outputted from the still region / film mode detection unit.

Description

[0001] Cross References to Related Applications [0002] This application claims the benefit of Korean Application No. 2002-43886 filed with the Korean Intellectual Property Office on Jul. 25, 2002, the disclosure of which is incorporated herein by reference. technical field [0003] The present invention relates to a deinterlaced device and method, and more particularly, to a deinterlaced device and method for distinguishing and thus adaptively interpolating stationary and moving regions in an image. Background technique [0004] Interlaced scan mode and progressive scan mode are typical scan modes of image display devices. The interlaced scan mode is already used in ordinary TV sets, such as Figures 1A to 1C As shown, this mode divides an image frame into two fields, and when an image is displayed, the two fields are sequentially and alternately interleaved on the screen. These two fields are called top and bottom fields, top and bottom fields, odd fields and even fields...

AI Technical Summary

Problems solved by technology

[0012] However, the motion compensation interpolation method is generally used to estimate the motion of the motion vector of the block unit, which sometimes causes artificial block noise of the interpolated image, because the error correction is done in the block unit

Therefore, a post-processing process must be performed to prevent artificial block noise, which leads to a rather complex hardware structure and thus a price increase

In addition, the motion-adaptive interpolation method simplifies the hardware structure relatively, which reduces the implementation cost, but it has the performance of deteriorating image quality and improving

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