Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Method for testing compression history of BMP image based on loss amount of image information

A BMP image and image information technology, applied in image communication, electrical components, etc., can solve the problems of incomplete randomness, influence of image size, and inability to set the maximum and minimum values ​​of data, etc.

Inactive Publication Date: 2010-03-17
DALIAN UNIV OF TECH
View PDF0 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the application of Benford's law has many restrictions. For example, the data cannot be limited by the maximum and minimum values, and the value changes continuously in a wide range. It is neither completely random nor excessively concentrated, etc.
Therefore, although this method has achieved a high accuracy rate in the experiments in the literature, these restrictions make the use of this method have certain limitations, such as images with a single tone such as large blue sky, green land and other images do not meet this requirement. Regularity, even when the image size is small

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for testing compression history of BMP image based on loss amount of image information
  • Method for testing compression history of BMP image based on loss amount of image information
  • Method for testing compression history of BMP image based on loss amount of image information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The specific implementation manner of the present invention will be described in detail below in combination with the technical scheme and accompanying drawings.

[0037] In the experiment, 300 TIFF images captured by the Kodak DC290 camera were selected as the original lossless images, including two resolutions, 720*480 and 1440*960, respectively, and the 300 original TIFF images were compressed as Q={ 60, 70, 80, 85, 90, 95, 96, 97, 98, 99} JPEG images are then converted into BMP images, as the original BMP images compressed by JPEG. Because with the reduction of the compression quality factor Q, the more information the image loses, the worse the image quality will be. Theoretically speaking, the detection effect of the algorithm will be better. Therefore, the present invention selects three lower commonly used The compression quality factor Q={60, 70, 80, 85} is used to test the effectiveness of the algorithm, and 6 higher compression quality factors Q={90, 95, 96, 9...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a method for testing the compression history of a BMP image based on the loss amount of image information, belonging to the technical field of signal and information processing. The method is characterized by comprising the steps of: under the condition of only obtaining a digital image, cutting the BMP image to be tested into 4 rows and 4 lines; evaluating an original image; compressing the image to be tested and the evaluated original image into two JPEG images, the quality factor of which is 100; extracting the characteristic by comparing the loss amount of the image information of the two JPEG images; and testing the compression history of the large quantities of the images with a Fisher linear classifier in a classifying way, or judging the compression historyof the single BMP image with original compression quality factor by means of threshold value segmentation. The method can exactly identify and prove the compression history of the many or single BMPimage(s). The method is applicable to the field of information security.

Description

technical field [0001] The invention belongs to the technical field of signal and information processing, and relates to a digital image evidence collection method for detecting BMP (bitmap) image compression history. Background technique [0002] At present, there are mainly two methods to detect the compression history of BMP images. One is an algorithm for detecting the history of BMP image compression based on block effects generated by JPEG (Joint Photographic Experts Group) compression. Fan et al. proposed in "Identification of bitmap compression history: JPEG detection and quantizer estimation" that if a BMP image has not been compressed by JPEG before, the pixel value difference between blocks should be similar, otherwise the pixel value difference will be due to JPEG compression. It is different from the block effect. After using this characteristic to detect the compression history of the BMP image, the maximum similarity principle can also be used to estimate the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H04N1/41
Inventor 孔祥维郭一平
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products