Predicting Blocking Effects in the Spatial Domain using a Learning Approach

A new method for predicting blocking effect in the spatial domain is proposed. This method aims at estimating the appearance of blocking artefacts in the original image prior to compression for a given bit rate and a given compression technique. The basic idea is to use a training process in order to compute a visibility measure. A weighting function of the blocking effects is then derived from this training process performed on a database. The proposed method is objectively and subjectively evaluated on various actual images. The obtained results confirm the efficiency of the proposed method in predicting blocking effect.

[1]  Bing Zeng,et al.  Reduction of blocking effect in DCT-coded images using zero-masking techniques , 1999, Signal Process..

[2]  Alan C. Bovik,et al.  DCT-domain blind measurement of blocking artifacts in DCT-coded images , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[3]  R. Gray,et al.  Vector quantization , 1984, IEEE ASSP Magazine.

[4]  Nam Chul Kim,et al.  Iterative blocking artifact reduction using a minimum mean square error filter in wavelet domain , 2003, Signal Process..

[5]  H. K. Verma,et al.  Reduction of blocking artifacts in JPEG compressed images , 2012, Digit. Signal Process..

[6]  Zhou Wang,et al.  Blind measurement of blocking artifacts in images , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[7]  S. Marsi,et al.  A Simple Algorithm For The Reduction Of Blocking Artifacts In Images And Its Implementation , 1998, International 1998 Conference on Consumer Electronics.

[8]  H. W. Park,et al.  Blocking effect reduction of JPEG images by signal adaptive filtering , 1998, IEEE Trans. Image Process..

[9]  Patrick Corlay,et al.  Reduction of blocking effect in DCT-coded images based on a visual perception criterion , 1998, Signal Process. Image Commun..

[10]  Azeddine Beghdadi,et al.  Coding artifact reduction using adaptive post-treatment , 2005, Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005..