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.