Sir, there’s a cat in your mirror dimension

The author discusses the frequency domain as a clever reinterpretation of signals using waveforms, noting the reversibility and symmetry of frequency domain transforms. They explore the idea of using the frequency domain for compression, such as converting images to reduce data without losing quality. They experiment by overlaying a cat noise pattern onto an image of a woman using the discrete cosine transform, showing that the cat noise can be perceptible in the frequency domain. The author shares tips for experimenting with frequency domain transformations in MATLAB, highlighting how compression affects image quality differently based on frequency components. They also touch on using frequency domain manipulation for hidden messages and steganography. The unique approach to image manipulation and compression offers new insights into the relationship between time and frequency domains.

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