You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
5 July 1995Investigation into the geometric consequences of processing substantially compressed images
One of the major driving forces behind digital photogrammetric systems is the continued drop in the cost of digital storage systems. However, terrestrial remote sensing systems continue to generate enormous volumes of data due to smaller pixels, larger coverage, and increased multispectral and multitemporal possibilities. Sophisticated compression algorithms have been developed but reduced visual quality of their output, which impedes object identification, and resultant geometric deformation have been limiting factors in employing compression. Compression and decompression time is also an issue but of less importance due to off-line possibilities. Two typical image blocks have been selected, one sub-block from a SPOT image and the other is an image of industrial targets taken with an off-the-shelf CCD. Three common compression algorithms have been chosen: JPEG, Wavelet, and Fractal. The images are run through the compression/decompression cycle, with parameter chosen to cover the whole range of available compression ratios. Points are identified on these images and their locations are compared against those in the originals. These results are presented to assist choice of compression facilities after considerations on metric quality against storage availability. Fractals offer the best visual quality but JPEG, closely followed by wavelets, imposes less geometric defects. JPEG seems to offer the best all-around performance when you consider geometric and visual quality, and compression/decompression speed.
The alert did not successfully save. Please try again later.
Udo Tempelmann, Zubbi Nwosu, Roland M. Zumbrunn, "Investigation into the geometric consequences of processing substantially compressed images," Proc. SPIE 2486, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision II, (5 July 1995); https://doi.org/10.1117/12.213131