Search Results - (( program image compression algorithm ) OR ( java adaptation optimization algorithm ))

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  1. 1

    Parallelization Of CCSDS Hyperspectral Image Compression Using C++ by Tan, Lit Chez

    Published 2018
    “…The first step of the research is converting the CCSDS-MHC algorithm into a full program in C++, with both compression and decompression features. …”
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    Monograph
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    CUDA implementation of fractal image compression by Al Sideiri A., Alzeidi N., Al Hammoshi M., Chauhan M.S., AlFarsi G.

    Published 2023
    “…Encoding (symbols); Fractals; Graphics processing unit; Image coding; Program processors; Signal encoding; Signal to noise ratio; CUDA; Fractal image compression; Fractal image compression algorithm; Graphical processing unit (GPUs); Lossy image compression; Parallel processing; Peak signal to noise ratio; Quad-tree partitioning; Image compression…”
    Article
  5. 5

    Compression of Three-Dimensional Terrain Data Using Lifting Scheme Based on Second Generation Wavelets by Pradhan, Biswajeet

    Published 2006
    “…The newly developed algorithm was applied to compress Light Detection and Ranging (LIDAR) data to check the efficiency of the program. …”
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    Thesis
  6. 6

    Data Hiding Techniques In Digital Images by Al Thloothi, Salah Ramadan

    Published 2003
    “…After all these studies, one of the algorithms in the masking technique is developed and implemented using JAVA program to embed message into true color image with a good quality and higher capacity. …”
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    Thesis
  7. 7

    Handheld devices 3D video streaming compression algorithm / Mohamad Taib Miskon, Hamidah Jantan and Wan Ahmad Khusairi Wan Chek by Miskon, Mohamad Taib, Jantan, Hamidah, Wan Chek, Wan Ahmad Khusairi

    Published 2016
    “…In recent years, a Three Dimensional Discrete Cosine Transform (3D-DCT) coding algorithm has been developed for compression of still 3D integral images [8-10], The main benefit of using transform coding is that integral 3D images are inherently divided into small non-overlapping…”
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    Research Reports
  8. 8

    Implementation of wavelet codec by using Texas Instruments DSP TMS320C6701 EVM board by Abd Manap, Nurulfajar

    Published 2001
    “…The wavelet codec is used to compress and decompress gray scale images for real time data compression. …”
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    Article
  9. 9

    Development of Lifting-based VLSI Architectures for Two-Dimensional Discrete Wavelet Transform by MOHAMED KOKO, IBRAHIM SAEED

    Published 2010
    “…This research iaitially started off by implementing a software simulation program that decorrelates the original image and reconstructs the original image from the decorrelated image. …”
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    Thesis
  10. 10

    Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

    Published 2017
    “…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
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    Thesis
  11. 11

    Handwriting recognition using webcam for data entry by Wong , Yoong Xiang

    Published 2014
    “…However, the testing were later enhanced with another feature extraction module, which consists of the combination of Character Vector Module, Kirsch Edge Detection Module, Alphabet Profile Feature Extraction Module, Modified Character Module and Image Compression Module. The modules have its distinct characteristics which is trained using the Back-Propagation algorithm to cluster the pattern recognition capabilities among different samples of handwriting. …”
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    Final Year Project
  12. 12

    Handwriting recognition using webcam for data entry by Xiang, W.Y., Sebastian, P.

    Published 2015
    “…However, the testing were later enhanced with another feature extraction module, which consists of the combination of Character Vector Module, Kirsch Edge Detection Module, Alphabet Profile Feature Extraction Module, Modified Character Module and Image Compression Module. The modules have its distinct characteristics which is trained using the Back-Propagation algorithm to cluster the pattern recognition capabilities among different samples of handwriting. …”
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    Conference or Workshop Item