{"title":"基于自适应量化和伪霍夫曼编码的数字像素图像传感器阵列设计","authors":"Milin Zhang, A. Bermak","doi":"10.1109/ICECS.2008.4674992","DOIUrl":null,"url":null,"abstract":"In this paper, adaptive quantization algorithm with pseudo Huffman coding scheme used for image compression application integrated along with a digital pixel sensor (DPS) array is proposed. The proposed pseudo Huffman coding scheme compresses the quantization results without any loss, while saving as high as half of the bits in transmitting while comparing with the number of bits required by system without such coding scheme. Simulation results show that the adaptive quantization can usually increase the PSNR results by even higher than 25%.","PeriodicalId":404629,"journal":{"name":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of a digital pixel image sensor array with adaptive quantization and pseudo Huffman coding\",\"authors\":\"Milin Zhang, A. Bermak\",\"doi\":\"10.1109/ICECS.2008.4674992\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, adaptive quantization algorithm with pseudo Huffman coding scheme used for image compression application integrated along with a digital pixel sensor (DPS) array is proposed. The proposed pseudo Huffman coding scheme compresses the quantization results without any loss, while saving as high as half of the bits in transmitting while comparing with the number of bits required by system without such coding scheme. Simulation results show that the adaptive quantization can usually increase the PSNR results by even higher than 25%.\",\"PeriodicalId\":404629,\"journal\":{\"name\":\"2008 15th IEEE International Conference on Electronics, Circuits and Systems\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 15th IEEE International Conference on Electronics, Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECS.2008.4674992\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 15th IEEE International Conference on Electronics, Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECS.2008.4674992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of a digital pixel image sensor array with adaptive quantization and pseudo Huffman coding
In this paper, adaptive quantization algorithm with pseudo Huffman coding scheme used for image compression application integrated along with a digital pixel sensor (DPS) array is proposed. The proposed pseudo Huffman coding scheme compresses the quantization results without any loss, while saving as high as half of the bits in transmitting while comparing with the number of bits required by system without such coding scheme. Simulation results show that the adaptive quantization can usually increase the PSNR results by even higher than 25%.