A fast growing archive of JPEG images and short MPEG video clips is
generated by digital still cameras. Unfortunately, ringing and
blocking artifacts from the block DCT compression may degrade the
quality of these images. Reducing these artifacts may improve the
display and printing from cell phone camera photos, video clips,
images cropped from high-resolution compressed images and images found
on the web. Reducing these artifacts also improves the results from
subsequently applied algorithms, such as upsampling and color
adjustments, that may otherwise accentuate the compression
artifacts. Compression artifact reduction also has the potential to
improve the millions of images in the accidental archive that the web
has become.
A new method, using weighted combinations of shifted
transforms, is developed for deringing and deblocking DCT
compressed color images. The method shows substantial
deringing improvement over prior methods, maintains comparable
deblocking and shows comparable PSNR gains. The
method automatically adapts to input image quality, and
it may be implemented using low-complexity, swath-based
processing. Multiplier-less transforms better suited for parallel
hardware implementation are developed. Finally, PSNR
comparisons are provided for the different methods. The
new method using the DCT transform offers good visual results
with PSNR comparable to prior work, and the multiplierless
transforms offer good visual results at a slight loss in
PSNR.
You may view sample images.
Technical details are found in this paper
(download available here) :
R. Samadani, A. Sundararajan and A. Said,
"Deringing and deblocking DCT compression artifacts with efficient
shifted transforms,"
IEEE International
Conference on Image Processing (ICIP), Singapore, October 2004.
Contact
For more information about this technology, please contact Ramin
Samadani (Ramin.Samadani @hp.com) at Imaging Technology Dept., HP
Labs.
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