Splicing
Definition
An inter-image manipulation in which content from one or more external images is inserted into a target image. Splicing introduces cross-boundary inconsistencies in noise level, colour statistics, JPEG blocking grid alignment, and camera fingerprint (PRNU).
- Definition
- Insertion of content from a different source image into a target, creating a composite with regions of different photographic origin.
- Key indicator
- Regions within the same image show different capture histories and photographic characteristics.
Common questions
What's the difference between splicing and copy-move forgery?+
Splicing takes content from a completely different source image and inserts it into the target, creating a composite with regions of different photographic origin. Copy-move, by contrast, copies and pastes content from one area of the same image to another area within that same image. Both are forgeries, but splicing always involves two separate original photographs.
Can a spliced image look natural and convincing?+
Yes. Splicing can produce a composite that looks coherent and realistic to the naked eye, which is why forensic analysis is often needed to detect it. The giveaway is usually in the technical details like lighting direction, sensor artifacts, or color tone differences between the inserted content and the target image.
What makes splicing detectable in forensic analysis?+
Because splicing combines regions with different capture histories, forensic examiners look for inconsistencies in lighting, shadow direction, color grading, noise patterns, and sensor artifacts. Each camera has unique characteristics, and regions from different source images will often show mismatched fingerprints that reveal the forgery.
Related terms
- Copy-Move Forgery
- An intra-image manipulation in which a patch copied from one location within the image is pasted over another location in the same...
- Active Authentication
- Authentication that depends on a signal deliberately inserted at capture time, such as a digital watermark, a cryptographic hash, or a manufacturer's...
- Affine Transform Estimation
- The recovery of the geometric transformation (rotation, scaling, shear) relating a copied region to its source, using matched keypoint pairs. Geometrically consistent...
- Block-Matching
- A copy-move detection strategy that divides the image into overlapping fixed-size blocks, computes a compact feature vector per block, sorts vectors, and...
- Chromatic Aberration
- Colour fringing at high-contrast edges caused by differential refraction of light wavelengths by a lens. The pattern is lens-specific and inconsistent across...
- Image Authentication
- The process of evaluating whether an image faithfully represents the scene it purports to show, using analysis of pixel statistics, file metadata,...
- Image Verification
- The narrower task of confirming that a specific file originated from a claimed device or has not changed since capture, often relying...
- Localisation Map
- The output of a forgery detection algorithm that marks, at pixel or block resolution, which regions of the image are identified as...
- Noiseprint
- A CNN-based camera-model fingerprint extractor by Cozzolino and Verdoliva. Applied to deepfakes, it reveals inconsistency between the camera fingerprint in the genuine...
- Passive (Blind) Authentication
- Analysis that relies solely on traces in the existing image data, with no pre-embedded signal. Methods include noise analysis, JPEG artefact examination,...
- Passive Forgery Detection
- Detection that operates on the image data alone, without any pre-embedded watermark or signature. Distinguished from active methods such as digital watermarking...
- SIFT (Scale-Invariant Feature Transform)
- A keypoint descriptor algorithm that detects interest points and computes 128-dimensional descriptors invariant to scale and rotation. In forgery detection, matching SIFT...
Explained in these topics
- Copy-Move and Splicing Detection in ImagesAn inter-image manipulation in which content from one or more external images is inserted into a target image. Splicing introduces cross-boundary inconsistenci...
- Image Authentication: Principles and the Forgery TaxonomyA manipulation that inserts content from a completely different source image into the target, producing a composite that may look coherent but contains regions...