Image data compression having minimum perceptual error
作者： Andrew B. Watson
DOI:
关键词: Image resolution 、 Computer vision 、 Pixel 、 Image processing 、 Fractal transform 、 Image compression 、 Computer science 、 Discrete cosine transform 、 Data compression 、 Image quality 、 Artificial intelligence
摘要: A method for performing image compression that eliminates redundant and invisible components. The uses a Discrete Cosine Transform (DCT) each DCT coefficient yielded by the transform is quantized an entry in quantization matrix which determines perceived quality bit rate of being compressed. present invention adapts or customizes to comprises visual masking luminance contrast techniques error pooling technique all resulting minimum perceptual any given rate, error.
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