JPEG Still Image Data Compression Standard
JPEG Still Image Data Compression Standard
Reduction of blocking artifacts in JPEG compressed images
Digital Signal Processing
A new adaptive separable median filter for removing blocking effects
IEEE Transactions on Consumer Electronics
Post filtering methods for reducing blocking effects from coded images
IEEE Transactions on Consumer Electronics
Artifact reduction in low bit rate DCT-based image compression
IEEE Transactions on Image Processing
Removal of compression artifacts using projections onto convex sets and line process modeling
IEEE Transactions on Image Processing
Blocking effect reduction of JPEG images by signal adaptive filtering
IEEE Transactions on Image Processing
Removing the blocking artifacts of block-based DCT compressed images
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Adaptive postprocessing algorithms for low bit rate video signals
IEEE Transactions on Image Processing
Improved image decompression for reduced transform coding artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Blocking artifact detection and reduction in compressed data
IEEE Transactions on Circuits and Systems for Video Technology
Efficient DCT-domain blind measurement and reduction of blocking artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Iterative procedures for reduction of blocking effects in transform image coding
IEEE Transactions on Circuits and Systems for Video Technology
Postprocessing MPEG based on estimated quantization parameters
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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The reconstructed images from highly compressed data have noticeable image degradations, such as blocking artifacts near the block boundaries. Post-processing appears to be the most feasible solution because it does not require any existing standards to be changed. Markedly reducing blocking effects can increase compression ratios for a particular image quality or improve the quality of equally compressed images. In this work, a novel deblocking algorithm is proposed based on three filtering modes in terms of the activity across block boundaries. By properly considering the masking effect of the HVS (Human Visual System), an adaptive filtering decision is integrated into the deblocking process. According to three different deblocking modes appropriate for local regions with different characteristics, the perceptual and objective quality are improved without excessive smoothing the image details or insufficiently reducing the strong blocking effect on a flat region. According to the simulation results, the proposed method outperforms other deblocking algorithms in respect to PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural SIMilarity).