Astronomical Image and Data Analysis (Astronomy and Astrophysics Library)
Astronomical Image and Data Analysis (Astronomy and Astrophysics Library)
Virtually lossless compression of astrophysical images
EURASIP Journal on Applied Signal Processing
High efficiency EBCOT with parallel coding architecture for JPEG2000
EURASIP Journal on Applied Signal Processing
Low bit-rate image compression via adaptive down-sampling and constrained least squares upconversion
IEEE Transactions on Image Processing
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
Fast and efficient rate control approach for JPEG2000
IEEE Transactions on Consumer Electronics
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
IEEE Transactions on Image Processing
Edge-directed prediction for lossless compression of natural images
IEEE Transactions on Image Processing
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Downloading astronomical images through Internet is a slow operation due to their huge size. Although several lossless image coding standards that have good performance have been developed in the past years, none of them are specifically designed for astronomical data. Motivated by this, this paper proposes a lossless coding scheme for astronomical image compressions. We design a joint predictor which combines the interpolation predictor and partial MMSE predictor. Such strategy benefits from its high compression ratio and low computation complexity. Moreover, the scalable and embedding functions can be further supported. The interpolation predictor is realized by upsampling the downsampled input image using bi-cubic interpolation, while the partial minimum mean square error (MMSE) predictor predicts the background and foreground (i.e., stars) separately. Finally, we design a simplified Tier-1 coder from JPEG2000 for entropy coding. Our experimental results show that the proposed encoder can achieve higher compression ratio than JPEG2000 and JPEG-LS.