Image scaling method based on directions of pixels in image

Abstract

The invention discloses an image scaling method based on the directions of pixels in an image. The image scaling method comprises the specific steps of: (1) inputting an original image; (2) calculating the energy of the original image; (3) calculating directions of various pixels in the original image; (4) determining interstices in the image according to the directions of the various pixels in the original image; and (5) calculating the energy values of the interstices in the image, selecting N interstices with minimum energy values, deleting the N interstices with minimum energy values, and obtaining a scaled image. According to the method, a plurality of interstices in the image are obtained once by using the directions of the various pixels during the process of image scaling, and the scaling operation speed can be increased; secondarily, the problem of the intersecting of the interstices can be automatically solved by a priority window adopted in the method, and the forming of intersected interstices is inhibited; and compared with the scaling method proposed by Rubinstein et al, the image scaling speed of the scaling method disclosed by the invention is obviously increased.

Description

technical field [0001] The invention relates to the technical field of image scaling processing, in particular to an image scaling method based on the direction of pixels in an image. Background technique [0002] With the rapid development of multimedia technology, display devices with different sizes of video display windows such as mobile phones, wide-screen TVs, and giant LEDs are increasingly used in our lives. People require that the size of the displayed image adapt to the display window size of the display device. The key content in the image can be clearly displayed. Shai Avidan and Ariel Shamir et al. published the article "Content-based Image Scaling with Slit Method" in the Journal of the Association for Computing Machinery, Volume 26, Issue 3, published in March 2007. This paper proposes a seam cutting method based on image content. By finding the seam with the smallest energy in the image, all the pixels on the found seam are deleted (or copied) to reduce (or i...

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Problems solved by technology

[0007] (4) Repeat the above steps until the image of the required size is obtained. The image scaling effect of this method is good, but the dynamic programming method is used when solving the gap, and a dynamic programming is required to solve each gap. Therefore, when the image size changes When larger, it will take more time

[0008] To sum up, the existing gap-based image scaling methods have the problems of low image scaling efficiency and time-consuming, which affects the wide application of gap-based image scaling technology.

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