Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Volume rendering has been proposed as a useful tool for extracting information from large datasets, where non-visual analysis alone may not be feasible. The scale of these applications implies that data management is an important issue that needs to be addressed. Most volume rendering algorithms, hover, process data in raw, uncompressed form. In previous work,  introduced a compressed volume format that may be volume rendered directly with minimal impact on rendering time. ,  extend these ideas to a new volume format that not only reduces storage space and transmission time, but is designed for fast volume rendering as ll. The volume dataset is represented as indices into a small codebook of representative blocks. With the data structure, volume shading calculations need only be performed on the codebook and image generation is accelerated by reusing precomputed block projections. >
['Paul Ning', 'Lambertus Hesselink']
I am writing a research paper on a idea Fast volume rendering of compressed data
[{"from": "human", "value": "I am writing a research paper on a idea Fast volume rendering of compressed data"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Volume rendering has been proposed as a useful tool for extracting information from large datasets, where non-visual analysis alone may not be feasible. The scale of these applications implies that data management is an important issue that needs to be addressed. Most volume rendering algorithms, hover, process data in raw, uncompressed form. In previous work,  introduced a compressed volume format that may be volume rendered directly with minimal impact on rendering time. ,  extend these ideas to a new volume format that not only reduces storage space and transmission time, but is designed for fast volume rendering as ll. The volume dataset is represented as indices into a small codebook of representative blocks. With the data structure, volume shading calculations need only be performed on the codebook and image generation is accelerated by reusing precomputed block projections. >"}]