Reduction of Artefacts in JPEG-XR Compressed Images
學年 107
學期 2
出版(發表)日期 2019-03-09
作品名稱 Reduction of Artefacts in JPEG-XR Compressed Images
著者 Kai-Lung Hua; Ho Thi Trang; Kathiravan Srinivasan; Yung-Yao Chen; Chun-Hao Chen; Vishal Sharma; Albert Y Zomaya
著錄名稱、卷期、頁數 Sensors 2019, 19(5), 1214
摘要 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.
關鍵字 JPEG XR;HD photo;Windows Media Photo;chequerboard artefacts;border artefacts;corner block artefacts
語言 en
ISSN 1424-8220
期刊性質 國外
收錄於 SCI Scopus
國別 CHE
出版型式 ,電子版

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