A Method for Image Depth Estimation

Abstract

The invention discloses an image depth estimation method. The method includes the following steps of (1) regional division, (2) iteration processing and (3) depth assignment, wherein the step (1) includes that an image to be processed is divided into a plurality of regions; and the step (2) includes (21) calculating saliency values, (22) judging whether the difference value between a maximum value and a minimum value among the saliency values of each region which current iteration is specific to is smaller than a set threshold value or not, if the difference value between a maximum value and a minimum value among the saliency values of each region which current iteration is specific to is smaller than the set threshold value, each region which current iteration is specific to is marked with background markers F0, stopping iteration, and otherwise, entering into the step (23), (23) standardization, binaryzation and corrosion which include that the saliency values of the regions, which are obtained in the step (21), are subjected to standardization to 0 to 255, the saliency values of the regions, which are subjected to the standardization, are subjected to binarization processing to obtain corresponding binary images, and the obtained binary images are subjected to corrosion to obtain corroded binary images, and (24) cutout processing. By means of the image depth estimation method, the obtained depth image gray value is accurate, and the depth image layering is high.

Description

【Technical field】 [0001] The invention relates to the field of computer image processing, in particular to an image depth estimation method. 【Background technique】 [0002] The depth estimation method is used to estimate the depth information of each pixel in the image to be processed, and obtain the global depth map of the image to be processed, which plays an important role in the application fields of computer vision and computer graphics. The current methods of depth map estimation mainly include image-based and video-based methods. For image-based methods, it can be subdivided into four ideas: 1. Focusing method: If a picture is focused on the near view when shooting, the distant view will be blurred, so it can be estimated by judging the clear and blurred areas in the picture. , so as to obtain the depth map. 2. Shape matching method: This method assumes that there is a certain correspondence between shape and depth, and finds out the depth corresponding to each shap...

AI Technical Summary

Problems solved by technology

Such an estimation method usually estimates inaccurate depth values, and the depth map layering is not strong.

At the same time, the influence of the edge of the object in the image is not considered, and the edge of the obtained depth map is blurred

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