- 期刊
- OpenAccess
Image Quality Meter Using Compression
摘要
This paper proposed a new technique to compressed image blockiness/blurriness in frequency domain through edge detection method by applying Fourier transform. In image processing, boundaries are characterized by edges and thus, edges are the problems of fundamental importance. The edges have to be identified and computed thoroughly in order to retrieve the complete illustration of the image. Our novel edge detection scheme for blockiness and blurriness shows improvement of 60 and 100 blocks for high frequency components respectively than any other detection technique.
延伸閱讀
- Chen, B. S. (2009). Automatic Display Quality Measurement by Image Processing [master's thesis, Tatung University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0081-3001201315104373
- Chen, J. C., & Lo, L. Y. (2016). A Statistical Approach for Photo Quality Assessment. 網際網路技術學刊, 17(6), 1249-1257. https://doi.org/10.6138/JIT.2016.17.6.20150603b
- 林采辰（2012）。Image Composition Optimization based on Aesthetics Rules〔碩士論文，國立臺灣大學〕。華藝線上圖書館。https://doi.org/10.6342/NTU.2012.02118
- Huang, Y. T. (2022). Applying Image Quality Assessment and Image Enhancement to Detect Proper Exposure in Photography [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU202201219
- HAQUE, M. I. U., QADRI, M. T., & SIDDIQUI, N. (2017). Image Quality Assessment using Image Details in Frequency Domain. Mehran University Research Journal of Engineering and Technology, 36(4), 789-796. https://www.airitilibrary.com/Article/Detail?DocID=P20170126001-201710-201802270006-201802270006-789-796