Blocking artifacts suppression in Wavelet transform domain using local Wiener filtering

In this paper, a new non iterative method is proposed in the wavelet domain for the reduction of blocking artifacts in block discrete cosine transform (DCT) compressed images. The method employs a local Wiener filter in wavelet domain to smooth out the blocking artifacts. The local variance is used in the same domain for pixel adaptive processing. We have demonstrated that the noise standard deviation has a strong correlation with the average of first 3×3 values from the quantization matrix. The proposed method outperforms several well know image deblocking methods both objectively and subjectively.