Peculiarities of using Huffman and RLE methods for image compression in microcontroller systems
https://doi.org/10.30857/2786-5371.2023.6.2
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- 22.11.2023
- 713 Views
- Technologies and Engineering - Vol. 24, No. 6, 2023
PhD in Technical Sciences, Associate Professor
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
03056, 37 Beresteiskyi Ave., Kyiv, Ukraine
Keywords: image compression; Huffman; RLE; Run-length encoding
https://doi.org/10.30857/2786-5371.2023.6.2
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Keywords: image compression; wavelet transforms; Haar wavelet; PSNR; SSIM
https://doi.org/10.30857/2786-5371.2023.3.2
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Keywords: microcontrollers; image recognition; convolutional neural networks; Edge Impulse; MobileNet
https://doi.org/10.30857/2786-5371.2023.2.2
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Keywords: Haar; Daubechies; Coiflet; Peak Signal-to-Noise Ratio; structural similarity index measure; ESP32 microcontroller
https://doi.org/10.30857/2786-5371.2024.6.5
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Keywords: Long Range; computer simulators; Framework for LoRa; Received Signal Strength Indicator; signal power loss; distribution factor; simulation parameters
https://doi.org/10.30857/2786-5371.2025.1.7
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