Multi-dimensional lookup table generation method and device and image scaling processing method and device

Abstract

The invention discloses a multi-dimensional lookup table generation method and device and an image scaling processing method and device and aims at overcoming the deficiency of relatively low efficiency of an image scaling technology in which a scaling effect depends on the convolution computation of a filter coefficient or the like in the prior art. The generation method comprises: determining the number of pixel points, the bit depth of image data, a value choosing step length for segmenting the bit depth of the image data and a scaling rate for scaling the row and the column of an image in each of the row and column directions within the current neighborhood of the image; determining the dimensions of the LUT according to the number of the pixel points in the row direction, and the number of the pixel points, the bit depth and the value choosing step length in the column direction, the row scaling rate and the column scaling rate; determining the pixel value of the input part of the LUT according to the value choosing step length, the bit depth and the dimensions of the LUT; and calculating the pixel value of an output part for generating the LUT. The multi-dimensional lookup table generation method has the advantages of reducing the computation burden of image scaling processing and greatly increasing the speed and the efficiency of image scaling processing.

Description

technical field [0001] The present invention relates to the technical field of digital image processing, in particular to an image scaling processing method and device, and a method and device for generating a multi-dimensional LUT (look-up table) for image scaling processing. Background technique [0002] In the prior art, image processing is widely used. For example, after a scanning device scans an original image, it needs to go through a certain image processing algorithm to obtain a clear scanned image. Commonly used image processing algorithms mainly include nearest neighbor interpolation, bilinear interpolation, and bicubic linear interpolation. The nearest neighbor interpolation is a relatively simple interpolation algorithm, but the enlarged image is prone to obvious mosaic or jagged phenomenon. The bilinear interpolation algorithm can obviously eliminate the aliasing phenomenon, but it will degrade the high-frequency part of the image and cause the image to be blu...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the disadvantage of low efficiency in the image scaling technology in the prior art, which determines the scaling effect by the convolution operation of filter coefficients, etc.

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