Image Pixel Value Mapping for Forensic Image Analysis

As mentioned in the text: Image pixel value mapping is used for forensic images.

Pixel value mapping in digital images is a technique used to enhance information and details in forensic images. By remapping pixel values through algorithms such as histogram equalization or contrast stretching, investigators can more clearly analyze and interpret image contents. This technique is crucial in forensic science, helping examiners better understand and reconstruct the authentic circumstances captured in evidentiary images. Implementation typically involves using image processing libraries like OpenCV or MATLAB with functions such as cv2.equalizeHist() for histogram equalization or imadjust() for contrast adjustment. The algorithm works by redistributing pixel intensity values across the available dynamic range, making subtle details more visible without altering the original image data. Therefore, researching and applying image pixel value mapping technology holds significant importance for forensic investigations, particularly in evidence analysis and courtroom presentations where image clarity can substantially impact case outcomes.