@article{scholars5380,
            year = {2014},
           pages = {137--144},
       publisher = {Springer Verlag},
         journal = {Lecture Notes in Electrical Engineering},
             doi = {10.1007/978-981-4585-42-2{$_1$}{$_6$}},
          volume = {291 LN},
            note = {cited By 0; Conference of 8th International Conference on Robotic, Vision, Signal Processing and Power Applications, RoViSP 2013 ; Conference Date: 10 November 2013 Through 12 November 2013; Conference Code:104958},
           title = {Acceleration of retinex algorithm for image processing on android device using renderscript},
         address = {Penang},
        keywords = {Algorithms; Image enhancement; Image reconstruction; Image resolution; Optimization; Portable equipment; Robotics; Signal processing, Android device Renderscript; Computational power; Computer vision applications; Image processing system; Pre-processing step; Real time performance; Retinex; Retinex algorithms, Robots},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84900467332&doi=10.1007\%2f978-981-4585-42-2\%5f16&partnerID=40&md5=0b7b3ef45463951ea75c3fd961eb7204},
        abstract = {The popularity and availability of Android devices have motivated researchers to implement their image processing systems on Android mobile platform. Retinex is considered as an effective method to restore the image's original appearance and used as a pre-processing step in many computer vision applications. It would give a lot of benefits to implement Retinex on such portable system and optimize it for real-time performance. This is a challenge because of limited computational power and memory of the portable system. This paper presents an implementation of rsRetinex, an optimized Retinex algorithm by using Renderscript technique. The experimental results show that rsRetinex could gain up to five times speedup when applied to different image resolution. {\^A}{\copyright} 2014 Springer Science+Business Media Singapore.},
            issn = {18761100},
          author = {Phuoc Phat Dat Le, D. and Tran, D. N. and Hussin, F. A. and Yusoff, M. Z.},
            isbn = {9789814585415}
}