Enhanced Image Reconstruction and Contextual Intelligence For Cyber-Forensics

The low-resolution image combined with noise and blurriness makes it difficult for investigators to use the data in legal proceedings. When combined with noise and blurriness these interventions make forensic evidence unusable for legal proceedings. Real ESRGAN used in the proposed automated system produces image enhancement results with PSNR at 30.2 and SSIM at 0.88. In a proposed model the images reach 1024×1024 resolution post restoration for enhanced quality that results in SSIM 0.92 and PSNR 32.1 which improves text and facial analytics. The performance tests demonstrate how the OCR module achieves 95.6% accuracy rate in extracting text from enhanced noisy images. The forensic analysis benefits from Gemini LLM through its scene description capabilities that enhance crime scene and document interpretation. The 50 images per minute processing speed of this technology supports both criminal investigation needs and historical conservation efforts alongside intelligence gathering work.

Authors

Institutions

Publication Details

Published
2025-03-28
DOI
https://doi.org/10.1109/ngise64126.2025.11085398
Primary Topic
Digital Media Forensic Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Image Reconstruction and Contextual Intelligence For Cyber-Forensics

Shivani Sharma, Riddhi B. Prajapati, Nikhil Chauhan, Sachin Yadav et al.
Digital Media Forensic Detection
article

Enhanced Image Reconstruction and Contextual Intelligence For Cyber-Forensics

Shivani Sharma, Riddhi B. Prajapati, Nikhil Chauhan, Sachin Yadav, Prateek Sinha
article en

Abstract

The low-resolution image combined with noise and blurriness makes it difficult for investigators to use the data in legal proceedings. When combined with noise and blurriness these interventions make forensic evidence unusable for legal proceedings. Real ESRGAN used in the proposed automated system produces image enhancement results with PSNR at 30.2 and SSIM at 0.88. In a proposed model the images reach 1024×1024 resolution post restoration for enhanced quality that results in SSIM 0.92 and PSNR 32.1 which improves text and facial analytics. The performance tests demonstrate how the OCR module achieves 95.6% accuracy rate in extracting text from enhanced noisy images. The forensic analysis benefits from Gemini LLM through its scene description capabilities that enhance crime scene and document interpretation. The 50 images per minute processing speed of this technology supports both criminal investigation needs and historical conservation efforts alongside intelligence gathering work.

Institute of Management Technology (IN)
Gender equality
Openalex Percentile: Top 81%
Digital Media Forensic Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhanced Image Reconstruction and Contextual Intelligence For Cyber-Forensics — Shivani Sharma, Riddhi B. Prajapati, et al. · (2025) | TGRS Research Map | TGRS