An image processing method based on bicubic interpolation and its image display method

Abstract

The invention provides an image processing method based on bicubic interpolation. In the method, bicubic interpolation processing is performed on an initial image acquired by a camera device according to a length interpolation multiples and a width interpolation multiples so as to obtain a target image. The method is characterized by arranging a given digit. The length interpolation multiples is a value of maintaining the given digit in decimal digits of a ratio of a second length to a first length. The width interpolation multiples is the value of maintaining the given digit in decimal digits of the ratio of a second width to a first width. The invention also provides an image display method. By using the invention, a low pixel camera can take a high pixel image without changing terminal hardware. Because a dedicated image processing chip and a high pixel camera are not needed so that complete machine costs of the terminal can be reduced. Because prolonged research and development time caused by modifying the terminal hardware can be saved so that research and development costs can be reduced.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image processing method based on bicubic interpolation and an image display method thereof. Background technique [0002] The traditional bicubic interpolation image processing method, that is, through this method, a pixel (u, v) is created at the position of the initial image that needs to be interpolated, and the pixel value of this pixel (u, v) is It is calculated from the (4×4) adjacent pixel values ​​around it, for example, the gray value of 16 points around the pixel (u, v), so that it is interpolated according to the cubic polynomial, and its interpolation effect Better, it is a high-precision algorithm, but when the interpolation multiple is non-integer, since floating-point operations need to be performed on the data, the corresponding calculation amount is also relatively large, which makes the image processing time longer. [0003] And, at pres...

AI Technical Summary

Problems solved by technology

Using an image processing chip can enable a mobile phone with a lower pixel camera to take higher pixel pictures, but because the image processing chip is more expensive, it will increase the cost of the mobile phone

In addition, for some smart phones, image processing software can be used to process the pictures acquired by the camera, thereby improving the pictures with higher pixels. However, since these software can only run on smart phones, for those with lower hardware configuration Low-end mobile phones or non-smart phones cannot run these software, so there is an urgent need for an image processing method that can run on low-end mobile phones or non-smart phones to achieve the function of obtaining higher-pixel pictures from lower-pixel pictures

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