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Reduction of Artefacts in JPEG-XR Compressed Images
The JPEG-XR encoding process utilizes two types of transform operations: Photo Overlap Transform (POT) and Photo Core Transform (PCT). Using the Device Porting Kit (DPK) provided by Microsoft, we performed encoding and decoding processes on JPEG XR images. It was discovered that when the quantizatio...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427445/ https://www.ncbi.nlm.nih.gov/pubmed/30857334 http://dx.doi.org/10.3390/s19051214 |
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author | Hua, Kai-Lung Trang, Ho Thi Srinivasan, Kathiravan Chen, Yung-Yao Chen, Chun-Hao Sharma, Vishal Zomaya, Albert Y. |
author_facet | Hua, Kai-Lung Trang, Ho Thi Srinivasan, Kathiravan Chen, Yung-Yao Chen, Chun-Hao Sharma, Vishal Zomaya, Albert Y. |
author_sort | Hua, Kai-Lung |
collection | PubMed |
description | The JPEG-XR encoding process utilizes two types of transform operations: Photo Overlap Transform (POT) and Photo Core Transform (PCT). Using the Device Porting Kit (DPK) provided by Microsoft, we performed encoding and decoding processes on JPEG XR images. It was discovered that when the quantization parameter is >1-lossy compression conditions, the resulting image displays chequerboard block artefacts, border artefacts and corner artefacts. These artefacts are due to the nonlinearity of transforms used by JPEG-XR. Typically, it is not so visible; however, it can cause problems while copying and scanning applications, as it shows nonlinear transforms when the source and the target of the image have different configurations. Hence, it is important for document image processing pipelines to take such artefacts into account. Additionally, these artefacts are most problematic for high-quality settings and appear more visible at high compression ratios. In this paper, we analyse the cause of the above artefacts. It was found that the main problem lies in the step of POT and quantization. To solve this problem, the use of a “uniform matrix” is proposed. After POT (encoding) and before inverse POT (decoding), an extra step is added to multiply this uniform matrix. Results suggest that it is an easy and effective way to decrease chequerboard, border and corner artefacts, thereby improving the image quality of lossy encoding JPEG XR than the original DPK program with no increased calculation complexity or file size. |
format | Online Article Text |
id | pubmed-6427445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64274452019-04-15 Reduction of Artefacts in JPEG-XR Compressed Images Hua, Kai-Lung Trang, Ho Thi Srinivasan, Kathiravan Chen, Yung-Yao Chen, Chun-Hao Sharma, Vishal Zomaya, Albert Y. Sensors (Basel) Article The JPEG-XR encoding process utilizes two types of transform operations: Photo Overlap Transform (POT) and Photo Core Transform (PCT). Using the Device Porting Kit (DPK) provided by Microsoft, we performed encoding and decoding processes on JPEG XR images. It was discovered that when the quantization parameter is >1-lossy compression conditions, the resulting image displays chequerboard block artefacts, border artefacts and corner artefacts. These artefacts are due to the nonlinearity of transforms used by JPEG-XR. Typically, it is not so visible; however, it can cause problems while copying and scanning applications, as it shows nonlinear transforms when the source and the target of the image have different configurations. Hence, it is important for document image processing pipelines to take such artefacts into account. Additionally, these artefacts are most problematic for high-quality settings and appear more visible at high compression ratios. In this paper, we analyse the cause of the above artefacts. It was found that the main problem lies in the step of POT and quantization. To solve this problem, the use of a “uniform matrix” is proposed. After POT (encoding) and before inverse POT (decoding), an extra step is added to multiply this uniform matrix. Results suggest that it is an easy and effective way to decrease chequerboard, border and corner artefacts, thereby improving the image quality of lossy encoding JPEG XR than the original DPK program with no increased calculation complexity or file size. MDPI 2019-03-09 /pmc/articles/PMC6427445/ /pubmed/30857334 http://dx.doi.org/10.3390/s19051214 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hua, Kai-Lung Trang, Ho Thi Srinivasan, Kathiravan Chen, Yung-Yao Chen, Chun-Hao Sharma, Vishal Zomaya, Albert Y. Reduction of Artefacts in JPEG-XR Compressed Images |
title | Reduction of Artefacts in JPEG-XR Compressed Images |
title_full | Reduction of Artefacts in JPEG-XR Compressed Images |
title_fullStr | Reduction of Artefacts in JPEG-XR Compressed Images |
title_full_unstemmed | Reduction of Artefacts in JPEG-XR Compressed Images |
title_short | Reduction of Artefacts in JPEG-XR Compressed Images |
title_sort | reduction of artefacts in jpeg-xr compressed images |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6427445/ https://www.ncbi.nlm.nih.gov/pubmed/30857334 http://dx.doi.org/10.3390/s19051214 |
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