Adaptive image scaling method based on content

Abstract

The invention discloses an adaptive image scaling method based on content, belonging to the field of image processing. In the method, the current slit reduction is weighted and then is combined with a mesh mapping process. The method comprises the following steps of: firstly, reducing an image by a slit reduction method, when a slit is in an important region, weighting energy of the important region near the slit to reduce the slit reduction of the important region and increase the slit reduction of a non-important region; and performing a mesh mapping process on the image subjected to the slit reduction process to enable the image to achieve a target size. The method not only scales the image information of the non-important region, but also effectively keeps proportion and detail of important image information after scaling, so that optimization of adaptive property of the image content is implemented.

Description

technical field

[0001] The invention relates to the technical field of image processing, in particular to the research and realization of a content-based image adaptive scaling method. Specifically, it is a method of content adaptation based on the combination of fine seam cutting and grid mapping optimization. Background technique

[0002] With the rapid development of mobile multimedia technology, such as the continuous upgrading of mobile phones and high-definition televisions, display terminals of different types and sizes are emerging to meet various user needs. In order to ensure that users of different devices can comfortably watch the same image content, this requires an image relocation system to make the image content adaptive to user terminals of different sizes and different proportions. Research on adaptive technology that maintains the main content of the image has important application significance.

[0003] Many content adaptive methods have been proposed, ...

Examples

Embodiment Construction

[0057] In the specific implementation manner, with reference to the accompanying drawings, a complete method for evaluating the similarity of image content recognition based on the combination of thin seam cutting and grid mapping will be described.

[0058] The technical solution process is as attached to the manual figure 1 As shown, this embodiment is implemented for a BMP bitmap whose original image is 683*1024 pixels.

[0059] 1) Read in the original image with a size of 683*1024 as a reference image, attached to the manual figure 1 , which is 683 pixels wide and 1024 pixels high. And set the target size of the output image, its size is 683*768 pixels.

[0060] 2) Use the saliency map to extract the important information of the reference image, and use the threshold to set the pixels in the important area to 0 and the pixels in the non-important area to 1, and refer to these information to further evaluate the content of important information.

[0061] Further said s...

technical field

[0001] The invention relates to the technical field of image processing, in particular to the research and realization of a content-based image adaptive scaling method. Specifically, it is a method of content adaptation based on the combination of fine seam cutting and grid mapping optimization. Background technique

[0002] With the rapid development of mobile multimedia technology, such as the continuous upgrading of mobile phones and high-definition televisions, display terminals of different types and sizes are emerging to meet various user needs. In order to ensure that users of different devices can comfortably watch the same image content, this requires an image relocation system to make the image content adaptive to user terminals of different sizes and different proportions. Research on adaptive technology that maintains the main content of the image has important application significance.

[0003] Many content adaptive methods have been proposed, ...

Examples

Embodiment Construction

[0057] In the specific implementation manner, with reference to the accompanying drawings, a complete method for evaluating the similarity of image content recognition based on the combination of thin seam cutting and grid mapping will be described.

[0058] The technical solution process is as attached to the manual figure 1 As shown, this embodiment is implemented for a BMP bitmap whose original image is 683*1024 pixels.

[0059] 1) Read in the original image with a size of 683*1024 as a reference image, attached to the manual figure 1 , which is 683 pixels wide and 1024 pixels high. And set the target size of the output image, its size is 683*768 pixels.

[0060] 2) Use the saliency map to extract the important information of the reference image, and use the threshold to set the pixels in the important area to 0 and the pixels in the non-important area to 1, and refer to these information to further evaluate the content of important information.

[0061] Further said s...

Images