GitHub - Daya-AWR1642/Quantization_of_lidar_data_using_lloyds: This work uses Lloyds-based quantization to achieve optimality in the quantization scheme. Before transmitting the point cloud, it is proposed to quantize it in parallel optimal quantizers

"# Quantization_of_lidar_data_using_lloyds"

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
SSIM_GSIM		SSIM_GSIM
binary_decimal_conversions		binary_decimal_conversions
output		output
2d_grayscale.jpg		2d_grayscale.jpg
GMSD.mlx		GMSD.mlx
README.md		README.md
binary_decimal_conversions.zip		binary_decimal_conversions.zip
bitcount.mlx		bitcount.mlx
bitcount_testing.mlx		bitcount_testing.mlx
d2b.mlx		d2b.mlx
f_d2b.mlx		f_d2b.mlx
float2bin.mlx		float2bin.mlx
lidar_quantization_3d_main_code.mlx		lidar_quantization_3d_main_code.mlx
lloyds_quanz_reconstruction_1.png		lloyds_quanz_reconstruction_1.png
lloyds_quanz_reconstruction_1_resize.png		lloyds_quanz_reconstruction_1_resize.png
lloyds_quanz_reconstruction_1_resize_grayscale.png		lloyds_quanz_reconstruction_1_resize_grayscale.png
normal_quanz_reconstruction_1.png		normal_quanz_reconstruction_1.png
normal_quanz_reconstruction_1_resize.png		normal_quanz_reconstruction_1_resize.png
normal_quanz_reconstruction_1_resize_1.png		normal_quanz_reconstruction_1_resize_1.png
normal_quanz_reconstruction_1_resize_1_grayscale.png		normal_quanz_reconstruction_1_resize_1_grayscale.png
original.png		original.png
original_grayscale.png		original_grayscale.png
original_resize.png		original_resize.png
rmse.mlx		rmse.mlx
ssim.mlx		ssim.mlx

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