Discrete Cosine Transform (DCT) helps to
separate
the image into parts (or spectral sub-hands) of
differing importance (with respect to image's visual
quality). The DCT is similar to the Discrete Fourier
Transform. It transfers a signal or image from the
spectral domain to the frequency domain. But the
difference is DCT uses cosine terms only but DFT
uses both cosine and sine terms....view full
Discrete Cosine Transform (DCT) helps to separate
the image into parts (or spectral sub-hands) of differing importance (with respect to image's visual quality). It transfers a signal or image from the spectral domain to the frequency domain.
Input to the DCT is image pixel intensity information in the form of matrix (usually 8 X 8) and the output is transformed data with the same dimension as input. For most images, much of the energy lies at low frequencies. These appear in the upper left corner of DCT matrix. Compression is archived since the lower right values represent higher frequencies and are often small enough to be neglected with little visible distortion.
The DCT input is an 8 by 8 array of integers. This array contains each pixel's gray scale level. 8 bit pixels have levels from 0 to 255....view full
You need to either login or register as a buyer or seller to view more IP information
