Grey scale image embedded information content analysis method

Abstract

This invention relates to a method for embedding information of images based on man-eye visual characters, which can embed information of multiple image modes including letters, images and figures, multiple pixels modes including a collected network point type and a scattered network point type and more than one black and white mixed or colorful images with multiple grey values, which has the characters of large sum of embedded information, small breakage to the original images, accurate identification and fine Rodust.

Description

technical field [0001] The invention belongs to the field of information processing, and relates to a method for embedding information in images based on the visual characteristics of human eyes. Background technique [0002] Principles of Human Vision: [0003] Color information in nature is continuous. But the resolution of the human eye is limited, and the sensitivity of the human visual system to the image field is non-uniform and non-linear. Many color details cannot be accurately perceived by the human eye. [0004] Taking the gray scale as an example, the human eye's ability to distinguish the gray scale is very poor, generally there are only dozens of gray scales. In 8-bit grayscale images (that is, we often say 256 (2 8 )-level grayscale image), if the grayscales of adjacent pixels have little difference but contain rich information, the human eye cannot extract the corresponding information from the image. That is to say, for grayscale images, human visual red...

AI Technical Summary

Problems solved by technology

This method is only a qualitative method that contains subjective components, and cannot be strictly used as an algorithm, and this method does not involve the use of the human eye's visual characteristics that the gray level of the image does not change significantly.

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