Image analysis software plays a crucial role in examining digital images to uncover hidden details and potential manipulations. One of the key aspects of this analysis is the Compression Level Analysis, which involves assessing the compression applied to images. In this article, we will delve into the various features and capabilities of image analysis software, focusing on compression-level analysis.

image analysis software


Compression Level Analysis

Image compression is a common practice to reduce file size and improve storage efficiency. However, it can also be a crucial factor in forensic analysis, especially when dealing with tampered or manipulated images. The following aspects are covered in the Compression Level Analysis feature:

  • Traces of Image Re-compression: The software identifies possible traces of image re-compression, analyzing each Red, Green, and Blue (RGB) layer separately and their mean.
  • Block Artifact Detection: It displays blocking artifacts within the image data. This is vital for recognizing irregularities or alterations in the image structure.
  • ADJPEG Checking: The software checks for inconsistencies left by local tampering and double JPEG compression. This helps in identifying potential areas of manipulation.

Smart Error Level Analysis

Another significant feature is the Smart Error Level Analysis, which computes the smart adaptive arithmetic difference between the original image and a series of JPG recompressed versions. This unique algorithm aids in revealing subtle discrepancies that might be indicative of image manipulation.

Correlation Map and Color Filter Arrayimage analysis software

  • Correlation Map: The software computes and displays the correlation between neighboring pixels and blocks of pixels. This is particularly useful in detecting local traces of image manipulation, such as content-aware editing or copy/paste between different images.
  • Color Filter Array (CFA): This feature explores the CFA interpolation process within a digital photo camera, assessing the correlation in each RGB layer. Understanding the CFA interpolation is essential for identifying any discrepancies in color representation.


In conclusion, image analysis software equipped with Compression Level Analysis and Smart Error Level Analysis features provides a comprehensive approach to forensic image examination. By understanding the intricacies of image compression and utilizing advanced algorithms, this software becomes a powerful tool for detecting potential image tampering and manipulation. In the next articles, we will explore additional functionalities, including Block Artifact detection and Color Filter Array analysis, to offer a complete overview of digital image processing capabilities.