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·ÖÐÎÊÓÆµÑ¹Ëõ ½¨Á¢ÔÚ ¾²Ö¹Í¼Ïñ ·ÖÐÎѹËõµÄ »ù´¡ÉÏ£¬Æä ѹËõ˼Ïë Ö÷ÒªÊÇ ¶ÔJacquin ·Ö¿é·½·¨ µÄÀ©³ä£¬°Ñ ¶þάµÄÖµÓò¿é ºÍ ¶¨ÒåÓò¿é À©³ä³É ÈýάֵÓòÁ¢·½Ìå ºÍ ¶¨ÒåÓò Á¢·½Ì壬»òÕß ²ÉÓà ֡¼äµÄ ·ÖÐÎѹËõ ºÍ Ö¡ÄÚÔ˶¯²¹³¥ Ïà½áºÏµÄ°ì·¨¡£ÑØ×Å ÕâÁ½¸ö˼ · ¶¼ÓÐ Ïà¹ØµÄ Ñо¿ÎÄÕ¡£ Fractal video compression is evolved from still image fractal compression.the compression theory of Fractal video compression is the extension of Jacquin partitioning method including expanding the 2D range block and domain block into 3D range cube and domain cube, or adopting the integrated method of inter-frame fractal compression and intra-frame motion compensation. There have been research papers on the two thoughts. ·ÖÐÎѹËõ µÄʵÖÊ ÊÇ ÀûÓà ¶ÔÏó ÄÚ²¿µÄ ×ÔÏàËÆÐÔ À´»ñµÃ ѹËõ´úÂë¡£¶ÔÓÚ ÊÓÆµÍ¼ÏñÐòÁÐs À´Ëµ£¬´Ó ·ÖÐ뵀 ½Ç¶È¿´£¬¿ÉÒÔ ÈÏΪ ¶ÔÓÚsµÄ Ò»²¿·Ö£¬×ÜÄÜ ÕÒµ½ sÖÐµÄ ÁíÒ»²¿·Ö Óë ËüÏàËÆ¡£Îª´Ë£¬ÐèÒª°Ñ ÊÓÆµÐòÁÐs »®·Ö³É ²»ÖصþµÄ С³¤·½Ì壬³ÆÖ®Îª ÖµÓò³¤·½Ì壬Ȼºó Õë¶Ô ÿ¸öС³¤·½Ìår£¬Ñ°ÕÒËü µÄÏàËÆ²¿·Ö£¬²¢ÓÉ´Ë ¼ÆËãѹËõ´úÂë¡£ The essence of fractal compression is to obtain compression code using the internal self-similarity of each object. With regard to the video image sequence s, it is believed that there is always two similar parts in sequence s from the fractal perspective. Therefore, it is suggested to divide video sequence s into small non-overlapping cuboids, which are called range domain cuboids. Then find the similar parts in each range domain cuboid r, so as to calculate the compression code. ²»Ê§Ò»°ãÐÔ£¬ÈκÎÒ»¸ö¾ØÕóu °´ÕÕ ÐÐ-ÁÐ-Ö¡µÄ ˳ÐòÅÅÁÐ ¶Ô Ó¦Ò»¸öÏòÁ¿v¡£·ÖÐÎѹËõÊÇ ÀûÓà µü´úº¯ÊýϵͳµÄ ²»¶¯µãÀíÂÛ£¬¼´£¬¶ÔÓÚr£¬´æÔÚ Ò»¸öµü´úº¯Êýϵͳ£¬ËüµÄ²»¶¯µã ÕýºÃÊÇ ÖµÓò³¤·½Ìår Ëù¶ÔÓ¦µÄ ÏòÁ¿v¡£Îª´Ë£¬ÐèҪѰÕÒ µÄÏàËÆ²¿·Öd £¬Ê¹µÃa=1 In general, any matrix u in the arrangement of row-column-frame is corresponded to a vector v. Fractal compression adopts the fixpoint theory of iterated function system (IFS), which can be described as that for each r, there is a IFS, of which the fixed point is just the vector v of related range domain cuboid r, therefore it is needed to seek similar part d of..... to make a=1. |
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