Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation
and Alignment Framework for Image Restoration
- URL: http://arxiv.org/abs/2304.06976v1
- Date: Fri, 14 Apr 2023 07:54:41 GMT
- Title: Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation
and Alignment Framework for Image Restoration
- Authors: Wenyang Liu, Yi Wang, Kim-Hui Yap and Lap-Pui Chau
- Abstract summary: We study a real-world JPEG image restoration problem with bit errors on the encrypted bitstream.
We propose a robust JPEG decoder, followed by a two-stage compensation and alignment framework.
We conduct experiments on three benchmarks with varying degrees of bit error rates.
- Score: 23.101965117344
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: In this paper, we study a real-world JPEG image restoration problem with bit
errors on the encrypted bitstream. The bit errors bring unpredictable color
casts and block shifts on decoded image contents, which cannot be resolved by
existing image restoration methods mainly relying on pre-defined degradation
models in the pixel domain. To address these challenges, we propose a robust
JPEG decoder, followed by a two-stage compensation and alignment framework to
restore bitstream-corrupted JPEG images. Specifically, the robust JPEG decoder
adopts an error-resilient mechanism to decode the corrupted JPEG bitstream. The
two-stage framework is composed of the self-compensation and alignment (SCA)
stage and the guided-compensation and alignment (GCA) stage. The SCA adaptively
performs block-wise image color compensation and alignment based on the
estimated color and block offsets via image content similarity. The GCA
leverages the extracted low-resolution thumbnail from the JPEG header to guide
full-resolution pixel-wise image restoration in a coarse-to-fine manner. It is
achieved by a coarse-guided pix2pix network and a refine-guided bi-directional
Laplacian pyramid fusion network. We conduct experiments on three benchmarks
with varying degrees of bit error rates. Experimental results and ablation
studies demonstrate the superiority of our proposed method. The code will be
released at https://github.com/wenyang001/Two-ACIR.
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