Image Compression with Singular Value Decomposition
Very interesting. I will be digging into this one. The first thing that popped out at me:<p>> We can decompose a given image into the three color channels red, green and blue. Each channel can be represented as a (m × n)‑matrix with values ranging from 0 to 255. We will now compress the matrix A representing one of the channels.<p>I wonder if the author considered converting to YCbCr colorspace first. The luminance component (Y) is substantially more important to the human visual system than the Cb/Cr components. Some subsampling of the chrominance components would probably work well in these schemes.