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Contrast Enhancement of Bite Mark Images Using the Grayscale Mixer in ACR in Photoshop ®
Author(s) -
Evans Sam,
Noorbhai Suzanne,
Lawson Zoe,
StaceyJones Seren,
Carabott Romina
Publication year - 2013
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/1556-4029.12085
Subject(s) - grayscale , artificial intelligence , rgb color model , contrast (vision) , computer vision , contrast enhancement , color image , false color , channel (broadcasting) , computer science , image processing , image (mathematics) , medicine , magnetic resonance imaging , radiology , computer network
Abstract Enhanced images may improve bite mark edge definition, assisting forensic analysis. Current contrast enhancement involves color extraction, viewing layered images by channel. A novel technique, producing a single enhanced image using the grayscale mix panel within A dobe C amera R aw ® , has been developed and assessed here, allowing adjustments of multiple color channels simultaneously. Stage 1 measured RGB values in 72 versions of a color chart image; eight sliders in P hotoshop ® were adjusted at 25% intervals, all corresponding colors affected. Stage 2 used a bite mark image, and found only red, orange, and yellow sliders had discernable effects. Stage 3 assessed modality preference between color, grayscale, and enhanced images; on average, the 22 survey participants chose the enhanced image as better defined for nine out of 10 bite marks. The study has shown potential benefits for this new technique. However, further research is needed before use in the analysis of bite marks.