Reduced Reference Image Quality Assessment Technique Based on DWT and Path Integral Local Binary Patterns

In the prevailing technological advancements, image and video services are one of the primary concerns of researches around the world. The transmission of multimedia contents involved various types of attenuations such as blurring, ringing, contrast, and blocking. To evaluate the quality of the image or video, researchers presented various quality assessment techniques, including subjective and objective assessments. In this article, a robust reduced reference image quality assessment technique based on the objective assessment is presented, which considers the extracted features of the underlying image to evaluate its quality. The proposed method uses a discrete wavelet transform-based path integral local binary pattern histogram as extracted features. These features of the reference and testing image are compared by a Euclidean distance formula to generate a single value to evaluate the quality of the image. The qualitative and quantitative analysis of the proposed method is carried on three different image datasets, namely LIVE, TID2013, and CSIQ. The experimental results of the proposed method indicate that it produces robust performance in terms of performance evaluation metrics as compared with state-of-the-art methods.