Image Processing in Forensics (Blood Spattering, Histogram Based Contrast Enhancement, Detection of Near Duplicate Images)

The application of image processing laboratories of crime investigating include the use of electronic screening devices that can put a check on the aberrations in the picture and also help in the collection of important piece of information and critical details that are hidden from normal observations and also aid towards providing acute and clear images. Various professionals utilize this technique of treating images for studying of the offensive situations.The primary aim of the responsible person for data analysis in these situations is to discover the processes that will contribute towards the best data to be drawn out from the research of acquired pictures. Some of the techniques upon which we have worked on include near duplicate image detection, histogram based contrast enhancement and blood spatter analysis. Approximately identical image identification basically aims at detecting the crime of falsely making or copying a document in order to deceive people.The technique of improving the contrast aims to discard the challenges that hinder proper collection of data in order to get better images with improved appearance and information. Blood spatter analysis involves the use of spontaneous and easily available options that can be used in the event of crime to study individual blood spots. This paper deals with the detailed study of these three techniques.