0499581 20240103221319.320190110235959.9 85055995600 000455335500002 10.1007/s11265-018-1410-7 12 s. P cav_un_epca*03277661939-8018911 (2019)9-20Springer Image restoration Denoising Super-resolution Numerical optimization Portable devices cav_un_auth*0213251 Department of Image Processing Kamenický Jan UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101209 Šroubek Filip UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101238 Zitová Barbara UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0370655 Hannuksela J. FI cav_un_auth*0370656 Turtinen M. FI http://library.utia.cas.cz/separaty/2019/ZOI/kamenicky-0499581.pdf https://link.springer.com/article/10.1007%2Fs11265-018-1410-7 cav_un_auth*0321470 621439 EC XE cav_un_auth*0361425 GA18-05360S GA ČR Image and video data acquired by portable devices such as mobile phones are degraded by noise and blur due to the small size of optical sensors in these devices. A wide range of image restoration methods exists, yet feasibility of these methods in portable platforms is not guaranteed due to limited hardware resources on such platforms. The paper addresses this problem by focusing on denoising algorithms. We have chosen two representatives of denoising methods with state-of-the-art performance, and propose different parallel implementations and algorithmic simplifications suitable for mobile phones. In addition, an extension to resolution enhancement is presented including both visual and quantitative comparisons. Analysis of the algorithms is carried out with respect to the computation time, power consumption and output image quality. WOS JD 20000 20200 20205 2020 RVO:67985556 http://hdl.handle.net/11104/0292819 cav_un_auth*0370657 Visidon Ltd FI S 2 Article Biochemistry Molecular Biology|Chemistry Multidisciplinary C ENGINEERING.ELECTRICAL&ELECTRONIC|COMPUTERSCIENCE.INFORMATIONSYSTEMS 0.892 0.511 4.3 0.00132 0.192 865 61 0.298 27.09 1.3 479 Q3 0.992 90 Q4 7.909 16.5 Q4 Q4 0.32 Q3 18.609 2019 85055995600 SCOPUS PUBMED 000455335500002 WOS cav_un_epca*0327766 Journal of Signal Processing Systems for Signal Image and Video Technology 1939-8018 1939-8115 Roč. 91 č. 1 2019 9 20 Springer