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- W2369638641 abstract "At low bit rate, the images encoded by standard wavelet coders inevitably undergo the so called ringing phenomena near sharp edges. A low bit rate image compression algorithm based on edge adaptive wavelet transform is proposed. At the encoder side, firstly the strong edges of an image are detected and encoded as additional information; Then the wavelet transform is carried out in such a way that no filtering over previously detected edges is performed; Finally, the wavelet coefficients are encoded by the wel known EBCOT algorithm. Especially, a new method to overcome the boundary effects in wavelet transform of segmented data is proposed. Compression examples show that the edge adaptive wavelet transform achieves good reproduction of sharp edges even at very low bit rate. Because of the additional information, the PSNR of the compressed images is typically slightly lower than that of standard coders, but the subjective vision impression is improved significantly." @default.
- W2369638641 created "2016-06-24" @default.
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- W2369638641 date "2005-01-01" @default.
- W2369638641 modified "2023-09-25" @default.
- W2369638641 title "Low Bit Rate Image Compression Based on Edge Adaptive Wavelet Transform" @default.
- W2369638641 hasPublicationYear "2005" @default.
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