Enlarged image compensation method and device

Abstract

The invention provides an enlarged image compensation method and device. The method comprises the following steps of: determining a first characteristic value and a second characteristic value corresponding to each original pixel in an original image, thus forming a first characteristic matrix and a second characteristic matrix respectively according to the first characteristic value and the second characteristic value corresponding to each original pixel; respectively performing interpolation processing on the first characteristic matrix and the second characteristic matrix according to an enlargement rate between the enlarged image and the original image, thus generating a first interpolation matrix and a second interpolation matrix; and generating a third interpolation matrix according to the first interpolation matrix and the second interpolation matrix, and compensating the enlarged image according to the third interpolation matrix, thus generating a compensated enlarged image. Through the compensation on the enlarged image, the edge sharpness of the enlarged image is enhanced, and the image enlarging effect is improved.

Description

technical field [0001] The invention relates to image processing technology, in particular to a compensation method and device for enlarging an image. Background technique [0002] Image and video upscaling is a very basic application that is required for almost all applications involving image and video processing. In the field of consumer electronics such as televisions and set-top boxes, the resolution of the traditional (US) National Television Standards Committee (NTSC) standard is 720x480, and it needs to be 6 times as high-definition as displaying 1920x1080. Zoom in, and display on a TV with a resolution of 3840x2160 needs to be zoomed in by 24 times. In image processing applications, image enlargement is ubiquitous, and almost all image browsers have an image enlargement function. [0003] Bilinear interpolation and bicubic interpolation are two methods commonly used in image magnification processing. The implementation complexity of these two methods is low, but b...

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Problems solved by technology

[0003] Bilinear interpolation and bicubic interpolation are two methods commonly used in image magnification processing. The implementation complexity of these two methods is low, but both methods will bring blur and jagged edges of the image. Moreover, these problems Accelerated with increasing magnification ratios, these image quality degradations due to magnification operations greatly degrade the consumer's viewing experience

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