Title
Super-resolution decoding of JPEG-compressed image data with the shrinkage in the redundant DCT domain
Abstract
Alter, Durand and Froment introduced the total-variation (TV) minimization approach to the artifact-free JPEG decoding, which is referred to as the ADF decoding method [1]. They formulated the decoding problem as the constrained TV restoration problem, in which the TV seminorm of its restored color image is minimized under the constraint that each DCT coefficient of the restored color image should be in the quantization interval of its corresponding DCT coefficient of the JPEG-compressed data. This paper proposes a new restoration approach to the JPEG decoding. Instead of the TV regularization, our new JPEG-decoding method employs a shrinkage operation in the redundant DCT domain, to mitigate degradations caused by the JPEG coding. Our new method not only can selectively suppress ringing artifacts near color edges, but also can efficiently eliminate blocking artifacts in originally smoothly-varying image regions, where the blocking artifacts are very noticeable. Through decoding simulations, we experimentally show that our new decoding method can reduce JPEG-coding artifacts more effectively than the ADF decoding method.
Year
DOI
Venue
2010
10.1109/PCS.2010.5702436
Picture Coding Symposium
Keywords
Field
DocType
data compression,decoding,discrete cosine transforms,image coding,image colour analysis,image resolution,image restoration,minimisation,television,ADF decoding,DCT coefficient,JPEG coding,JPEG compressed image data,TV restoration problem,TV seminorm,artifact blocking,artifact free JPEG decoding,color image minimisation,redundant DCT domain,smoothly varying image region,super resolution decoding,total variation minimization approach,JPEG,decoding,redundant DCT,shrinkage,super-resolution
Computer vision,Ringing artifacts,Sequential decoding,Computer science,Transform coding,Theoretical computer science,JPEG,Artificial intelligence,Decoding methods,Image restoration,Data compression,Color image
Conference
ISBN
Citations 
PageRank 
978-1-4244-7134-8
2
0.40
References 
Authors
1
3
Name
Order
Citations
PageRank
Takashi Komatsu111333.96
Yasutaka Ueda241.51
Takahiro Saito310030.46