We present a general purpose blind image quality assessment (IQA) method using the statistical independence hidden in the joint distributions of divisive ...

We present a general purpose blind image quality assessment (IQA) method using the statistical independence hidden in the joint distributions of divisive ...

A general purpose blind image quality assessment (IQA) method using the statistical independence hidden in the joint distributions of divisive normalization ...

Bibliographic details on Blind image quality assessment using statistical independence in the divisive normalization transform domain.

Blind image quality assessment using statistical independence in the divisive normalization transform domain. Ying CHU, Xuanqin MOU, Hong FU, Zhen JI.

Blind image quality assessment using statistical independence in the divisive normalization transform domain X. MouHong FuZ. Ji. Computer Science · Blind image ...

Nov 13, 2015 · We present a general purpose blind image quality assessment (IQA) method using the statistical independence hidden in the joint distributions of ...

2C. Geometry of the Divisive Normalized Domain · Linear image spaces are not perceptually Euclidean since the distortion metric is image dependent.

Divisive normalization also reduces the statistical dependencies between subbands thereby de-coupling subband responses to a certain degree [40], [34]. Further,.

A novel code book based framework for blind image quality assessment is developed. The code words are designed according to the image pattern of joint ...