Abstract
An important measure of proof collection, storage, and authentication in forensic sciences, which decide the safety and security of any system documents, which can be either portable document formats or scanned images. To gather evidence, or plan a forensic investigation digital images are secured with different modern methodologies. Digital image analysis includes image recovery and surveillance for image information improvement. The goal of forgery detection is to maximize the extraction of information from manipulated images, particularly noisy and post-processed images. Because digital image processing is becoming popular with many advantages in scientific and engineering applications, the forgery techniques are also growing at a rapid rate. Therefore, the main focus is on different types of forgery detection in digital image processing with the help of all transform techniques and comparing their best results for further improvement in order to generate a new approach for a future forensic science investigation.
Highlights
Today images provide an effective and natural media of exchanging data between humans
Digital forensic is a collection of scientific methods for identification, analysis, interpretation, content authentication, classification, documentation from digital sources for the reconstruction of original information, which helps in forgery detection
Many methods used by many researchers to locate and detect forgery regions such as Copy--move forgery through Discrete Cosine Transform (DCT), Fast Walsh-Hadamard Transform, Normalized Cross-Correlation (NCC) and Discrete Wavelet Transform (DWT), which reduces the complexity of time and its representations of dimensions
Summary
Today images provide an effective and natural media of exchanging data between humans. Multimedia security is required to information hiding which involves security methods like steganography and watermarking for visible and invisible fingerprint, copyright protection with spatial domain and transform domain all are having different applications like copyright protection, data hiding, fingerprinting, tracing, authentication in both reversible and irreversible conditions all are applicable in many multimedia types like audio, text, video, 2D images, 3D model It is useful in applications like quality control systems, benchmark image processing. Digital forensic is a collection of scientific methods for identification, analysis, interpretation, content authentication, classification, documentation from digital sources for the reconstruction of original information, which helps in forgery detection. It means who, what and why circumstances. This paper presents a precise objective of analyzing all types of forgery detection that helps in summarizing various approaches adopted for rapid processing and reducing computational complexities. [4]
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