Nayyar A, Puri V (2015) Raspberry Pi-a small, powerful, cost effective and efficient form factor computer: a review. NasirCheRosli A (2010) Embedded system for biometric identification. In: IJCA Proceedings on National conference on power systems and industrial automation NCPSIA 2015(4):1–3, December 2015 Nagaraja L, Nithin D, Nagarjun RS, Anand NM, Murthy VS (2015) Vision-based text recognition using Raspberry Pi. In: 14th European signal processing conference (EUSIPCO 2006), Florence, Italy, September 4–8, 2006 Mosqueron R, Dubois J, Paindavoine M (2006) Embedded image processing/compression for high-speed CMOS sensor. In: Escalante B (ed.) Remote sensing-advanced techniques and platforms. Lin A (2012) Hardware implementation of a real-time image data compression for satellite remote sensing. Kucera R, Vlcek J, Vlcek K (1998) DSP implementation of image compression by multi resolutional analysis. Sci J Circuits Syst Signal Process 7(4):81–86 Kouanou AT, Tchiotsop D, Fozin TF, Mounmo B, Tchinda R (2018) Real-time image compression system using an embedded board. Klimesh M, Stanton V, Watola D (2000) Hardware implementation of a lossless image compression algorithm using a field programmable gate array, The telecommunications and mission operations progress report. Jamil U, Sajid A, Hussain M (2019) Melanoma segmentation using bio-medical image analysis for smarter mobile healthcare. Ilango G, Marudhachalam R (2011) New hybrid filtering techniques for removal of gaussian noise from medical images. IEEE Trans Circuits Syst Video Technol 15(9):1138–1147 In: Nios II Embedded Processor Design Contest-Outstanding Designs 2005įry Thomas W, Hauck Scott (2005) SPIHT image compression on FPGAs. In: Proceedings of the IEEE 7th symposium on application specific processors, SASP 2009, San Francisco, CA, USA, July 27–28, 2009ĭyer M, Gupta AK, Galin N (2005) Nios II processor-based hardware/software co-design of the JPEG2000 Standard. Microprocess Microsyst 29:299–305ĭasika G, Fan K, Mahlke S (2009) Power-efficient medical image processing using PUMA. In: 2nd International Conference on Autonomous Robots and Agents, December 13–15, 2004, Palmerston North, New ZealandĬorsonello P, Perri S, Zicari P, Cocorullo G (2005) Microprocessor-based FPGA implementation of SPIHT image compression subsystems. Al-Muhit A, Islam MS, Othman M (2004) VLSI implementation of discrete wavelet transform (DWT) for image compression.
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