Method and device for scaling video images

Abstract

The embodiment of the invention discloses a method and a device for scaling video images, which are used for improving the scaling quality of the video images. The method comprises the following steps: dividing a target image into at least two sub-target images; dividing a source image into a corresponding number of sub-source images according to the way of dividing the target image into the sub-target images; acquiring a scaling factor of each pixel in each sub-target image, wherein the scaling factor is determined by the sub-target image and the sub-source image; and acquiring each pixel value in each sub-target image according to the scaling factor. The embodiment of the invention also discloses a device for scaling the video images. The embodiment of the invention can improve the scaling quality of the video images.

Description

technical field [0001] The invention relates to the field of digital video image processing, in particular to a video image scaling method and device. Background technique [0002] With the rapid development of multimedia and network technology, video has been widely disseminated and used as an information carrier, and digital display systems have also been widely used as a display tool for video images. However, various digital display systems such as liquid crystal displays The display resolutions of plasma displays are different. For example, the display resolutions of liquid crystal displays include 1920x1080, 1280x720, and 720x480, etc., and the display resolutions of portable digital display systems include 320x200, 640x480, and 320x240. In order to achieve the purpose of correctly displaying video signals, the digital display system must scale the video image to match the display resolution of the display system. Then in various video applications, the scaling of vid...

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Problems solved by technology

[0004] However, in the process of realizing the present invention, the inventors have found that the prior art has at least the following problems: the linear scaling method is used to scale the image, and the target image does not conform to the visual characteristics of the human eye due to the linear scaling of the entire image.

Although the edge clipping method for image scaling will not cause image distortion, clipping the edge image may cause packet loss of the zoomed image

Image scaling is performed using a nonlinear scaling algorithm, if not appropriate, it will affect the scaling quality of the image area that the human eye mainly focuses on

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