Image processing device and image processing method

Abstract

The invention discloses an image processing device and an image processing method, which can perform the most suitable noise treatment of pixel data in image data, so that the quality of the image is improved. The image processing device comprises an edge maintaining index generating unit and a noise eliminating unit, wherein aiming at each pixel in a plurality of pixels in the image data, the edge maintaining index generating unit is used for determining an edge intensity value according to an original luminance value of the pixel and an original luminance value of at least one pixel adjacent to the pixel; and the noise eliminating unit is used for generating a first adjusting luminance value according to an original luminance value of a target pixel in the image data and an original luminance value of at least one pixel adjacent to the target pixel and determining a statically adjusting luminance value according to the original luminance value of the target pixel, the first adjusting luminance value and the edge intensity value.

Description

technical field [0001] The present invention relates to an image processing device, in particular to an image processing device and an image processing method capable of determining the degree of noise processing according to an edge keeping index (EKI) of an image frame. Background technique [0002] In a general TV system, the picture data (frame data (Frame) or field data (Field)) will first undergo image noise processing to adjust the brightness value in the picture data, and then the adjusted picture data will be processed by other images. However, in the process of image noise processing, each pixel in each picture data uses the same noise processing method, that is, whether the picture data is a picture with complex details (such as Most of the picture is grass or leaves) or the picture data is a simple picture (for example, most of the picture is the sky or human skin) with the same degree of noise processing. In this way, when high-level noise processing is used, e...

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Problems solved by technology

In this way, when high-level noise processing is used, excessive noise processing will be performed on areas with complex details in the picture, causing image details to become blurred, and image details cannot be clearly displayed; or when low-level noise processing is adopted In this case, the pure area noise processing of the image in the picture will be insufficient, and the noise cannot be effectively suppressed, which will affect the image quality.

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