Abstract
Objective Image Quality Assessment (IQA) of a stereo pair entails considering the depth information in the 3D scene. Initially 2D Quality Assessment algorithms were used on stereopairs but failed to address IQA of all distortion types in stereo pairs as depth information was missing in it. Conventional QA measures like MSE and PSNR involved only error detection between reference and distorted images. As recent study shows Human Visual System (HVS) is more adapted to recognizing edges and contours from natural scenes than pixel level errors, Mean Edge Structure Similarity (MESSIM) algorithm has been developed and observation studied. It is compared with other IQA tools like MSSIM, MSE, PSNR, AD, SC, IF, Spectral Activity, Spatial Frequency and Entropy. MESSIM is observed to give better correlation with the subjective score than the rest of the IQA tools. A single, cyclopean image is synthesized from the left and right images of a stereo pair for quality assessment between reference and distorted image. IQA based on cyclopean image gives better correlation results than using 2D QA tool of averaging quality indices of left and right images.
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