JPEG vs. JPEG 2000: an objective comparison of image encoding quality

@inproceedings{Ebrahimi2004JPEGVJ,
  title={JPEG vs. JPEG 2000: an objective comparison of image encoding quality},
  author={Farzad Ebrahimi and Matthieu Chamik and Stefan Winkler},
  booktitle={SPIE Optics + Photonics},
  year={2004}
}
This paper describes an objective comparison of the image quality of different encoders. [] Key Method We show that the MOS predictions by our proposed tool are a better indicator of perceived image quality than PSNR, especially for highly compressed images. For the encoder comparison, we compress a set of 29 test images with two JPEG encoders (Adobe Photoshop and IrfanView) and three JPEG2000 encoders (JasPer, Kakadu, and IrfanView) at various compression ratios.
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The image quality of the JJ2000 and Apollo algorithms is statistically equivalent for medical image compression, demonstrating the image qualities between two popular JPEG2000 programs.
An Analysis of Contemporary JPEG2000 Codecs for Image Format Migration
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It is found that in some circumstances, particularly when a JasPer encoder is used, in order to retain image quality of the decoded image, the best choice of decoder may not be the same codec used to create the JPEG2000; based on these results, the encoding library is therefore recommended technical preservation metadata to retain.
No noticeable difference evaluation of image data compression
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A NND-based subjective experiment is carried out to see if the existing standard image codecs such as JPEG and JPEG2000 still make a reasonable difference in performance and results reveal that there is no great difference between the two standard codecs.
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The results show that recently developed JPEG standard (JPEG XR) is able to compress images with the same quality as JPEG2000, but not the same speed as JPEG.
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The JPEG Encoder for image compression is dealt with upon comparing the performance of DWT compression with DCT compression, finding that DWT yields higher compression ratio and better visual quality.
Analysis of Relationship between Image Compression and Gamut Variation: JPEG and JPEG2000
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The rela- tionship between the compression ratio and the gamut variation for a reconstructed image using JPEG and JPEG2000 is investigated and gamut fidelity is obtained using the ratio of unique colors relative to thegamut area.
A survey on lossy compression of DSC raw data
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The study investigates the lossy compression of DSC raw data based upon the 12 bit baseline JPEG compression, finding that JPEG artefacts originate from the quantization of the DCT coefficients and is capable of compression ratios of about factor 4 in practice.
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