3D22MX: Performance Subjective Evaluation of 3D/Stereoscopic Image Processing and Analysis

This work is divided into three parts: (i) a methodology developed for building 3D/ stereoscopic database, called 3D22MX, (ii) software tool designed degradation of 3D/stereoscopic images, and (iii) psychophysical experiment carried out specific type noise. The novelty this to integrate these parts precisely provide not only professionals who design algorithms estimate three-dimensional image quality but also those wish generate new databases. For the development 15 indoor images 5 outdoor ones were spatial-calibrated lighted different types scenarios. Criteria calibration with respect images. degrade from MatLab programming language since captured in first part are calculated achieving several degradation. Our program has ten noises degradation, such as white Gauss impulse, localvar, spatial correlation, salt & pepper, speckle, blur, contrast, jpeg, j2k. Due each noise containing up five levels proposal, database 20 required degrading generating ranging all yield psychophysical. Finally, there applied criteria carry some experiments Moreover, we analyzed used qualify apply j2k noise, explaining every level