{"title":"Perceptually lossless image coding of medical images with artificial edge segmentation","authors":"David Wu, D. Tan, Hong Ren Wu","doi":"10.1109/ispacs.2005.1595539","DOIUrl":"https://doi.org/10.1109/ispacs.2005.1595539","url":null,"abstract":"This paper presents a method of encoding medical images with artificial edges at a perceptually lossless quality. Based on the JPEG2000 coding framework and embedded with an advanced perceptual distortion metric, the proposed coder can identify and remove visually insignificant/irrelevant information. In addition, an artificial edge segmentation algorithm complements the perceptual distortion metric by enabling it to adaptively identify and prune artificial edges. Compared with the state-of-the-art JPEG compliant LOCO lossless coder, current results have shown an improvement in bit-rate without any loss of visual fidelity.","PeriodicalId":385759,"journal":{"name":"2005 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127286187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"New precise measurement method of power harmonics based on FFT","authors":"Jing Wu, Wei Zhao","doi":"10.1109/ISPACS.2005.1595422","DOIUrl":"https://doi.org/10.1109/ISPACS.2005.1595422","url":null,"abstract":"Taking the rectangular window as an example, the summation in the expression of discrete Fourier transform is solved by the integral operation. Under the condition of asynchronous sampling, the long-range leakage and short-range leakage effects of the spectrum are explained. A new method, named multi-spectrum-line interpolation correction algorithm (MICA), is presented to correct the leakage effects. The difference between MICA and the previous windowed interpolation algorithm is analyzed. The simulation results show the measurement accuracy of MICA is very high and the long-range leakage effect can be corrected by applying not only the window with better spectral performances, but also the interpolation algorithm. MICA based on FFT can be applied to measure precisely the electrical harmonics and estimate the frequency offset in the orthogonal frequency diversion multiplexing (OFDM) communication system.","PeriodicalId":385759,"journal":{"name":"2005 International Symposium on Intelligent Signal Processing and Communication Systems","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126384002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}