Abstract

The global crisis caused by the Corona virus is making everyone search for new ways to eliminate this danger that threatens people’s lives. The addition of new methods for detecting the infection of people makes the prevention process fast and not expensive at all. Waiting hours or days for people’s test results is both expensive and dangerous. The use of the JPEG format for images (the most common in our daily lives) and Benford’s law when they work together makes this possible. This method has been validated by the discovery of digital image manipulation and its effective use in forensic evidence and is known to be highly sensitive. Moreover, the availability of high-resolution microscopes with optical zoom made it possible to take real and clear images of the Corona virus, and therefore the use of this method saves time, effort and risk.

Highlights

  • As people continue to get infected with the Coronavirus (Covid-19) and it turns into a global pandemic, we have witnessed things we did not know before, such as the closure of the year and the interruption of public life

  • The JPEG method is used for both color and black and white images, but the focus will be on analyzing and comparing coronavirus images in different formats using Benford's law

  • A group researcher demonstrated that images in the pixel field do not follow Benford's law, but that images converted to discrete cosine transform (DCT) do (Jolian, 2001)

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Summary

INTRODUCTION

As people continue to get infected with the Coronavirus (Covid-19) and it turns into a global pandemic, we have witnessed things we did not know before, such as the closure of the year and the interruption of public life. Scientists were able to take real pictures of the Coronavirus using a highresolution electron microscope We took these images in different formats and analyzed them, for example, images (PNG) and images (JPEG). Many applications of Benford's rule have been proven in the forensic literature, such as financial statements (Nigrini, 1996) This law affects the image's gradient as well as the Laplacian pyramid code (Jolian, 2001). A group researcher demonstrated that images in the pixel field do not follow Benford's law, but that images converted to discrete cosine transform (DCT) do (Jolian, 2001). This is a significant breakthrough in the application of Benford's law. A group researcher applied this legislation (Fu et al, 2007)

MATERIALS AND METHODS
The DCT Formula (8)
The Matrix of DCT
RESULTS AND DISCUSSION
Coding
Decompression
Matrices are compared
More Examples
Block-DCT Transactions
Benford's Law and Block-DCT Transactions: An Overview
CONCLUSION
Full Text
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