Abstract: A method and apparatus for compression of digital and analog data utilizing an anamorphic spectrum transformation to warp an analog or digital signal to provide time-bandwidth compression after sampling is performed on the warped signal. The anamorphic spectrum transformation performs reallocating samples to assign more samples to fine features with high frequency waveform portions and fewer samples to coarse features with low frequency portions of the analog temporal signal, resulting in shorter record length and fewer number of samples.

Abstract: A method and apparatus for compression of digital and analog data utilizing an anamorphic spectrum transformation to warp an analog or digital signal to provide time-bandwidth compression after sampling is performed on the warped signal. The anamorphic spectrum transformation performs reallocating samples to assign more samples to fine features with high frequency waveform portions and fewer samples to coarse features with low frequency portions of the analog temporal signal, resulting in shorter record length and fewer number of samples.

Abstract: A feature-selective compression method and system are described which uses a transformation causing feature-selective stretching of the image being compressed. As a result, additional samples are allocated to sharp features where they are needed, and less to coarse features where they are redundant. The method can be applied to still and video images, whether they are monochrome or color images or 3D images, and operates in open-loop fashion and does not require prior knowledge of the image. The method can be applied by itself or combined with other types of compression (i.e., JPEG, WebP) to further compress the image.