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ÔÚͶ¸åϵͳÏÔʾÂÛÎÄ¡°Required Review Complete¡±Ò»¸öÔÂÁãÒ»ÌìºóµÄ½ñÌìÊÕµ½ÁËÖ÷±àµÄ¾Ü¸åÓʼþ£¨ÔøÔÚ7ÔÂ10ºÅ×óÓÒ·¢¹ýÓʼþ¸øÖ÷±àÏ£ÍûËûÄܾ¡¿ìµÄ·µ»ØÉó¸åÒâ¼û£©¡£ÓʼþÖÐÖ÷±à˵ÊǸù¾ÝÉó¸åÈËÒâ¼û×÷³öµÄ¾Ü¸å¾ö¶¨£¬µ«ÎÒ¿´Éó¸åÈËÒâ¼û£¬³ýÁËÓ¢ÓïÐèÒªÐÞ¸ÄÍ⣬ÆäËüûɶ´óÎÊÌ⣬±ÈÈçÔö¼ÓʵÑé¡£µ«Ö÷±àÖ±½Ó¾Í¾ÜÁË£¬»¹¾ÜµÄºÜ³¹µ×¡£¸öÈ˾õµÃËû¾ÜµÄºÜǣǿ£¬¸Ð¾õÓ¦¸Ã¸ø¸öÐ޸ĺóÔÙÉóµÄ»ú»á¡£ÎÒ°ÑÖ÷±àµÄÓʼþºÍÉó¸åÈ˵ÄÒâ¼û¸½ÔÚÏÂÃæ£¬´ó¼Ò¿´¿´ÎÊÌâ³öÔÚÄĶùÁËÄØ¡£ Ö÷±à£º Thank you for submitting your manuscript for possible publication in ¡Á¡Á¡Á. Following are the reviews for your paper referenced above. Based on the reviews, I regret that I cannot accept or further consider it for publication in ¡Á¡Á¡Á. Thank you for your interest in ¡Á¡Á¡Á. Sincerely, Dr. ¡Á¡Á¡Á Editor-in-Chief ¡Á¡Á¡Á Ö÷±à·µ»ØµÄÉó¸åÈËÒâ¼û£º Reviewers' comments: Reviewer #1: First, English should be improved, many errors and sentences are too long that lead to a misunderstand. This paper was presented a methud that its name is ¡Á¡Á¡Á. this methud Does not change much with the previous methud. But There is little innovation, Where used from two-dimensional ¡Á¡Á¡Á in conjunction with the ¡Á¡Á¡Á image denoising algorithm. Formula 7 in page 10, is not a new formula of estimators. This formula was used previously. Finally this paper With a small change can become a good article. Sincerely, Reviewer #3: In the paper, ¡Á¡Á¡Á is used for denoising images. ¡Á¡Á¡Á£¨¶ÔÂÛÎÄ·½·¨µÄÃèÊö£©. It is claimed that "The comparative experimental results for natural images and medical images show that the method introduced in the paper achieves better denoising performance, and that the accuracy and computational cost of the ¡Á¡Á¡Á image denoising algorithm are all improved." 1. As far as I can see, the formulations used in the paper seem to be O.K. 2. But the language used in the paper needs to be highly corrected. To show the locations of the linguistic mistakes, I attached a Word document in which the problematic words and phrases are colored into yellow. And probably there are more mistakes that I missed throughout the paper. 3. Instead of having a fixed 21x21 pixel search window, it would be interesting to see the effects of changing the window size. 4. In Table 1, as the author confessed, the method introduced in this paper does not outperform all other state-of-the art methods, but it still gives comparable performance results. Similar results are valid for Table 2. 5. It would be good to add the computation times of the method in Table 3 since it outperforms other denoising methods in PSNR every now and then. 6. Finally the last sentence in the "Abstract" should be corrected maybe by writing it as "Finally, the comparative experimental results show that our method achieves better denoising performance in some of the well known images and outperforms other methods in computational time in all images." ˳±ãÌáÒ»¾ä£¬Éó¸åÈË2˵ËûÌṩÁËÒ»·ÝÖ¸³öÎÒÂÛÎÄÖÐÓï·¨´íÎóÖ®ÀàµÄwordÎĵµ£¬µ«Ö÷±àÕ¦¸öûÓаÑÕâ¸öÎĵµ·µ»Ø¸øÎÒÄØ... |
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