Fundamentals of digital image processing
Fundamentals of digital image processing
The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
Processing JPEG-compressed images and documents
IEEE Transactions on Image Processing
A JPEG variable quantization method for compound documents
IEEE Transactions on Image Processing
Parallelizable Bayesian tomography algorithms with rapid, guaranteed convergence
IEEE Transactions on Image Processing
Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Improved image decompression for reduced transform coding artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Reduction of blocking artifacts in image and video coding
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts
IEEE Transactions on Circuits and Systems for Video Technology
Human visual system for complexity reduction of image and video restoration
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
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The JPEG standard is one of the most prevalent image compression schemes in use today. While JPEG was designed for use with natural images, it is also widely used for the encoding of raster documents. Unfortunately, JPEG's characteristic blocking and ringing artifacts can severely degrade the quality of text and graphics in complex documents. We propose a JPEG decompression algorithm which is designed to produce substantially higher quality images from the same standard JPEG encodings. The method works by incorporating a document image model into the decoding process which accounts for the wide variety of content in modern complex color documents. The method works by first segmenting the JPEG encoded document into regions corresponding to background, text, and picture content. The regions corresponding to text and background are then decoded using maximum a posteriori (MAP) estimation. Most importantly, the MAP reconstruction of the text regions uses a model which accounts for the spatial characteristics of text and graphics. Our experimental comparisons to the baseline JPEG decoding as well as to three other decoding schemes, demonstrate that our method substantially improves the quality of decoded images, both visually and as measured by PSNR.