Photo and image forensic analysis
In many situations photos can have a vital influence on public opinion and court decisions. Manipulated photos from CCTV and private cameras can spur unrest and false accusations. At the same time in the civilian area of dispute parties can try to avoid prosecution by disfiguring digital evidence.
In some situations photos from speed camaras and security cameras can show number plates. If these number plates and not clearely readable then it is necessary to apply special methods to deblurr and unpixel photos that are presenting identification problems. Same applies to the challenge of identifing an individual on a CCTV camera that has a dirty lense. Rain can interfere in the recording of events. This is where technology and expertise is required to make visual evidence usable for a court case.
If a vehicle moves around the corner an identification mark can be leading to wrong reading as eyes can be mislead.
What can a forensic photo analysis do?
The technical forensics has the ability to make blurred, misfigured and smirred photos clear to the extent that number plates are visible. The human eye can have problems identifying the difference between a "3", "B" and "8" if the picture is slaunted, smeered, messy or just bad quality. The objectiv is to make important elements clearly visible so that a court can make a profound decision.
Photo forensics is not a job that is done in 10 Minutes. Many work hours are required to gradually mark characteristic areas and work on cleaning the mess away that is falsifying a picture. One does such complex work only for cases that really need such a costly process. Rain, dirt, wind, shacking movements and animals can have an effect on the quality of a CCTV camera. Lines can be shiften horizontally, vertically oder in a zickzack pattern:
Round movements and deformations of visual ability of a lense can cause recordings to be unprecise and without expertise useless for evaluating its importance to a dispute.
Such intensiv pixeled Photos require considerable work effort but can be transformed into usable evidence. Effects that make is difficult for the human eye to clearly make out what it really is, can present a considerable problem. The applied methodology is intended for legal disputes as this is not a technology for data recovery.