Context-Based Arithmetic Coding for the DCT: Achieving high compression rates with block transforms and simple context modeling
نویسنده
چکیده
Recent image compression schemes have focused primarily on wavelet transforms, culminating in the JPEG-2000 standard. Block based DCT compression, on which the older JPEG standard is based, has been largely neglected because wavelet based coding methods appear to offer better image quality. This paper presents a simple compression algorithm that uses arithmetic coding on the bit-planes of the DCT coefficients. This algorithm enables lossy compression of grayscale images with performance that is comparable to the JPEG-2000 standard and other state-of-the-art wavelet coders.
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