Ryota Koiso, R. Watanabe, Keisuke Nonaka, Tatsuya Kobayashi
{"title":"基于积分点光源的Cgh计算内存缩减","authors":"Ryota Koiso, R. Watanabe, Keisuke Nonaka, Tatsuya Kobayashi","doi":"10.1109/ICIP46576.2022.9897936","DOIUrl":null,"url":null,"abstract":"We propose a novel rendering method for computer-generated holograms (CGHs) which enables low memory usage and low computational complexity. Although the conventional elementary hologram (EH) method realizes smooth motion parallax and rendering for realistic expressions with low complexity, it incurs large memory usage. This is because point light sources (PLSs) must be acquired and stored independently for different perspectives to reconstruct multi-view images. Our method effectively reduces memory usage by integrating PLSs whose 3D coordinates are extremely close to each other. Furthermore, to reduce the complexity of this integration, our method skips some of the PLS acquisition processes under the assumption that the loss of PLSs for the EH does not significantly affect the final reconstructed image quality. Our experimental results show a reduction in memory usage of 93% with a calculation time only 1.2-fold longer than compared with the EH method.","PeriodicalId":387035,"journal":{"name":"2022 IEEE International Conference on Image Processing (ICIP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Memory Reduction Of Cgh Calculation Based On Integrating Point Light Sources\",\"authors\":\"Ryota Koiso, R. Watanabe, Keisuke Nonaka, Tatsuya Kobayashi\",\"doi\":\"10.1109/ICIP46576.2022.9897936\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a novel rendering method for computer-generated holograms (CGHs) which enables low memory usage and low computational complexity. Although the conventional elementary hologram (EH) method realizes smooth motion parallax and rendering for realistic expressions with low complexity, it incurs large memory usage. This is because point light sources (PLSs) must be acquired and stored independently for different perspectives to reconstruct multi-view images. Our method effectively reduces memory usage by integrating PLSs whose 3D coordinates are extremely close to each other. Furthermore, to reduce the complexity of this integration, our method skips some of the PLS acquisition processes under the assumption that the loss of PLSs for the EH does not significantly affect the final reconstructed image quality. Our experimental results show a reduction in memory usage of 93% with a calculation time only 1.2-fold longer than compared with the EH method.\",\"PeriodicalId\":387035,\"journal\":{\"name\":\"2022 IEEE International Conference on Image Processing (ICIP)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Image Processing (ICIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP46576.2022.9897936\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Image Processing (ICIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP46576.2022.9897936","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Memory Reduction Of Cgh Calculation Based On Integrating Point Light Sources
We propose a novel rendering method for computer-generated holograms (CGHs) which enables low memory usage and low computational complexity. Although the conventional elementary hologram (EH) method realizes smooth motion parallax and rendering for realistic expressions with low complexity, it incurs large memory usage. This is because point light sources (PLSs) must be acquired and stored independently for different perspectives to reconstruct multi-view images. Our method effectively reduces memory usage by integrating PLSs whose 3D coordinates are extremely close to each other. Furthermore, to reduce the complexity of this integration, our method skips some of the PLS acquisition processes under the assumption that the loss of PLSs for the EH does not significantly affect the final reconstructed image quality. Our experimental results show a reduction in memory usage of 93% with a calculation time only 1.2-fold longer than compared with the EH method.