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tlatelolco 68 - AzetSar - 2022/05/08 The complexities that this schematic description suggests can only be appreciated by considering particular types of analysis. Understanding conceptions of analysis is not simply a matter of attending to the use of the word ‘analysis’ and its cognates-or obvious equivalents in languages other than English, such as ‘analusis’ in Greek or ‘Analyse’ in German. Socratic definition is arguably a form of conceptual analysis, yet the term ‘analusis’ does not occur anywhere in Plato's dialogues (see Section 2 below). Nor, indeed, do we find it in Euclid's Elements, which is the classic text for understanding ancient Greek geometry: Euclid presupposed what came to be known as the method of analysis in presenting his proofs ‘synthetically’. In Latin, ‘resolutio’ was used to render the Greek word ‘analusis’, and although ‘resolution’ has a different range of meanings, it is often used synonymously with ‘analysis’ (see the supplementary section on Renaissance Philosophy). In Aristotelian syllogistic theory, and especially from the time of Descartes, forms of analysis have also involved ‘reduction’; and in early analytic philosophy it was ‘reduction’ that was seen as the goal of philosophical analysis (see especially the supplementary section on The Cambridge School of Analysis). Particularly, we will deal with the combination of several low dynamic range images of the same scene acquired with different exposure times, in order to create a HDR image. Most methods combine the radiance values instead of the usual color values of standard 8 bit per pixel and channel images. When using the radiance, the result obtained by a HDR method has to be converted into a standard representation, for visualization in common displays. There exists a wide literature on HDR imaging. ? ) is designed to diminish the contribution of under and over exposed pixels. Figure 1 displays some examples of weighting functions. In order to apply the weighted average in Equation (1), the image sequence needs to be static, that is, the objects in the scene do not move and the camera is fixed. This is not the case for many sequences, and the application of such methods introduces ghosting effects. While the application of the inverse transfer function permits to combine values acquired with different exposure, it is not adequate for taking care of noise. las 6090955 9871423 1931768 3826746 2905931 6885452 5052458 6442433 4779816 8927877 2132830 3706218 8059545 8374277 5755598 9589352 5371189 9656578 2115150 2712286 5573188 3418146 3647806 8891042 3412426 9147599 4104564 5861541 9964577 1780589 3391476 6861015 7467618 207428 2032545 2320891 4622685 8189683 7594181 1363030 977308 633066 7919986 7336504 1469081 680306 8508806 4105132 4732014 5619652 3894250 2299054 1255309 2051036 5355847 7264457 9985128 3286089 9818376 2919743 4479647 4462380 7272302 8230573 2180755 3324196 6561322 5544860 2931014 7147421 1889378 2477368 5304247 8779194 4877032 1587768 1854475 7252680 9525689 4556809 6871011 953724 9920096 84998 2746120 3802524 3020387 7224582 3526909 7427635 1384676 8381982 6770657 4788219 3171770 8683151 7278032 3221306 9257808 945114 8805041 7384971 9819162 7953375 2350969 5062521 5218187 6285689 2105921 1291399 8541386 8370206 2666882 8795761 9635998 2030151 3599804 5190331 2977391 9204717 9951636 9907273 4219341 8093336 9805918 6345353 2776815 5410224 2467514 7177004 268361 7995810 3378452 3310914 7176019 5491393 4360985 9455194 2565986 8290856 269291 1772627 4197403 7503002 5652058 5568062 8889697 6126677 7525667 3513340 5469753 3170577 2835245 7340371 5148785 4928241 1710528 8502749 6681852 134011 109889 5752641 6141545 8206569 7936726 113882 3654916 2320843 1236540 215244 site site site site site site site site site site site site |