As the key to the JPEG baseline compression process, the Discrete Cosine Transform (DCT)
is a mathematical transformation that transforms a signal from spatial representation into
frequency representation. In an image, most of the energy will be concentrated in the lower
frequencies. Therefore, once an image is transformed into its frequency components, we can
treat them selectively, e.g., retaining lower frequency coefficients with high accuracy while
squeezing the size of high frequency coefficients, so as to reduce data amount needed to
describe the image without sacrificing too much image quality. In practice, a specially
configured quantization table will be used to realize such selective operation. And then we can
use the Inverse Discrete Cosine Transform (IDCT) to reconstruct the image when we want to
see the image. In this assignment, you are required to implement a program that performs
DCT on a 2D image, quantize its frequency coefficients, and IDCT on the quantized
coefficients to reconstruct the image.
CSCI 3280 Introduction to Multimedia Systems Discrete Cosine Transform (DCT)
已经实现基本功能，需要加 qiuqiu:1720355003(JG再议)
Discrete Cosine Transform (DCT)，离散Cos转换！