Reduction of JPEG Artifacts using BSDEs

Borkowski, Dariusz; Jańczak-Borkowska, Katarzyna

doi:10.24132/csrn.2021.3101.1

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2023

Publication Types

Select...

Other1

Article1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In 2023 JPEG [ITU21] will celebrate its 30 th anniversary. Despite the fact that many more efficient techniques were developed, just to mention a few: JPEG 2000 [ISO19], JPEG-XR [ITU20], JPEG-XL [ISO22], HEVC Intra (HEIF) [ISO17], AV1 Intra (AVIF) [Con21], it is still very popular and commonly used in many applications and products [Bor21,Hud18,W3T22].…”

Section: Introductionmentioning

confidence: 99%

Rate-Distortion Optimized Quantization in Motion JPEG

Grajek¹,

Stankowski²

2022

CSRN

View full text Add to dashboard Cite

Rate-Distortion Optimized Quantization (RDOQ) is an encoding optimization technique that may be applied to any transform-based compression technique preserving bitstream compliance with the standard. In the paper, the application of the RDOQ to Motion JPEG is described and evaluated. The proposed solution includes block- level optimization with picture-level Lagrange multiplier estimation. Performed evaluation results in higher compression ratios as compared to typical Motion JPEG.

show abstract

Section: Introductionmentioning

confidence: 99%