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Are there any resources which use Matlab to image compress a colour image using SVD? I can only find information where I need to convert to gray scale first.
This discussion focuses on using Singular Value Decomposition (SVD) for image compression in MATLAB, specifically for color images. The common approach involves converting color images to grayscale using the rgb2gray() function, as SVD operates on single-value matrices rather than RGB triplets. The MATLAB documentation confirms that rgb2gray(RGB) effectively converts truecolor images to grayscale by preserving luminance while discarding hue and saturation. Users with the Parallel Computing Toolbox™ can leverage GPU acceleration for this conversion.
rgb2gray()This discussion is beneficial for image processing engineers, MATLAB developers, and anyone interested in optimizing image compression techniques using SVD for color images.
the rgb2gray(RGB) converts the truecolor image RGB to the grayscale image I. The rgb2gray function converts RGB images to grayscale by eliminating the hue and saturation information while retaining the luminance. If you have Parallel Computing Toolbox™ installed, rgb2gray can perform this conversion on a GPU.