Continuous Wavelet Transform Based No-Reference Image Quality Assessment for Blur and Noise Distortions

This paper proposes a no-reference quality assessment technique to assess the quality of images that is degraded due to blur and noise. The technique is motivated from the fact that when distortion occurs in a natural image, its naturalness gets disturbed. We analyze this disturbance using continuous-wavelet transform in order to assess the quality of the image. The proposed image quality estimation technique is free from training and prior knowledge of the distortion (noise or blur) present in the image. The technique is being evaluated on LIVE and CSIQ databases, and the obtained results are found very similar with subjective scores provided by the databases. It is observed from the obtained results that the proposed technique outperforms the latest state-of-the-art techniques.