Skip to Main content Skip to Navigation
Conference papers

Interval-valued JPEG decompression for artifact suppression

Vincent Itier 1 Florentin Kucharczak 1 Olivier Strauss 1 William Puech 1
1 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : JPEG is the most used image compression algorithm but block wise DCT compression methods produce artifacts due to coefficient quantization. JPEG decompression can be seen as a reconstruction problem constrained by quantization. In this context, we propose to handle this problem by using interval-valued arithmetic. Our method allows to produce interval-valued image that includes the non-compressed original image. The produced convex set allows to apply constrained Total Variation (TV) reconstruction in order to reduce JPEG artifacts (blocking, grainy effects and high frequency noise). Experiments show visual improvement of JPEG decoding assessed by non-reference quality metric. In addition, the stopping criterion of the TV algorithm is given by this metric which provides evidence about JPEG decompression improvement.
Document type :
Conference papers
Complete list of metadata

Cited literature [28 references]  Display  Hide  Download
Contributor : William Puech Connect in order to contact the contributor
Submitted on : Monday, February 18, 2019 - 6:14:00 PM
Last modification on : Thursday, April 22, 2021 - 11:24:02 AM
Long-term archiving on: : Sunday, May 19, 2019 - 8:22:11 PM


Publisher files allowed on an open archive


  • HAL Id : lirmm-02023964, version 1



Vincent Itier, Florentin Kucharczak, Olivier Strauss, William Puech. Interval-valued JPEG decompression for artifact suppression. 8th International Conference on Image Processing Theory, Tools and Applications (IPTA 2018), Nov 2018, Xi'an, China. pp.1-6. ⟨lirmm-02023964⟩



Record views


Files downloads