This STMS intended to join the research effort of two previous STSMs’. These previous research concluded, 1) The conclusion that High Dynamic Range (HDR) images represented using TMO results in a larger privacy intrusion than the use of the typical LDR technology , 2) False colors can be used as a reversible privacy protection method.
This STSM intends to study how de-identification methods based on false colors such as those published in  and further extended in a more recent work which has been submitted for publication, might be effective on providing privacy protection using the approach used in . Hence the HDR content in the database will be converted to LDR and then false color will be applied. Using the methodology of  the privacy protection provided by the false colors methodology will be tested.
A subjective study has been established during the STSM to evaluate the level of anonymisation. The model uses a similar methodology as reported in , were images will be shown to observers and one individual will be selected for recognition from a side bar with a set of face images including the face of the selected individual. Observers will be asked to select one of those faces as the one present in the image. The recognition rates are reported in a publication joining the three institutions, UBI (PT), EPFL (CH) and METU (TR).
 Pavel Korshunov, Marco V Bernardo, Antonio M G Pinheiro, Touradj Ebrahimi, ”Impact of Tone-mapping Algorithms on Subjective and Objective Face Recognition in HDR Images”, ACM MM, Workshop CrowdMM, Brisbane, Australia; October, 2015
 Serdar Çiftçi ; Pavel Korshunov ; Ahmet O. Akyüz ; Touradj Ebrahimi; “Using false colors to protect visual privacy of sensitive content”. Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 93941L March, 2015