Reduction of Artefacts in JPEG-XR Compressed Images

doi:10.3390/s19051214

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/122967

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/122967

Title:	Reduction of Artefacts in JPEG-XR Compressed Images
Authors:	Hua, Kai-Lung;Trang, Ho Thi;Srinivasan, Kathiravan;Chen, Yung-Yao;Chen, Chun-Hao;Sharma, Vishal;Zomaya, Albert Y
Keywords:	JPEG XR;HD photo;Windows Media Photo;chequerboard artefacts;border artefacts;corner block artefacts
Date:	2019-03-09
Issue Date:	2023-04-28 16:32:58 (UTC+8)
Publisher:	MDPI
Abstract:	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.
Relation:	Sensors 2019, 19(5), 1214
DOI:	10.3390/s19051214
Appears in Collections:	[資訊工程學系暨研究所] 期刊論文

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