Codiac Studios - Software has Evolved. Developers of JP2-Zip, Revolutionary JPEG2000 based image compression software.


Overview


Superior quality for the same file size
25% - 35% smaller files at comparable image quality
Lossless compression mode
User definable ROIs (Regions Of Interest) allowing fine grained control
Full support for ICC / CIE Lab colour profiles and non-RGB (multi-component) images
Layered code stream format allowing device-dependant complexity options
Greater resilience to data transmission errors
Extensive support for embeddable metadata within images


Superior quality for the same file size

JPEG2000 is a wavelet based image compression system employing DWT (Discrete Wavelet Transform) and other sophisticated signal processing technologies to achieve its compression. These 'wavelets' are partially representative of, and applied to, the whole image resulting in only a slight 'softening' of details, even at very high compression levels. By contrast, JPEG images are processed in blocks of 8x8 pixels and compressed using a DCT (Discrete Cosine Transform). At high compression levels, signal degradation is such that the DCT blocks no longer blend into one another, and a mosaic effect can be observed in the decompressed image - sometimes referred to as "JPEG artefacts". These artefacts are unacceptable for quality sensitive applications such as pre-press, medical imaging, and biometrics severely hindering JPEG's suitability for high level applications. JPEG2000 instead allows for visually lossless compression at ratios often far surpassing those of JPEG - the very best of all worlds.

 


Smaller files at comparable image quality

The compression ratios that are achievable with JPEG2000 are nothing short of incredible. This is due partly to the inherent efficiency of state-of-the-art wavelet image compressors, and partly to the excellent pre and post processing applied by the JPEG2000 standard before and after the wavelet transform itself.

 

These are 100% actual size crops from a larger image (856kb)


Lossless compression mode

For applications demanding perfect image reproduction on decompression, JPEG2000 supports lossless compression. Compression ratios of up to 1:12 are still achievable, and as such, JPEG2000 offers one of the best lossless compression systems in the industry, outperforming the best known classical compression schemes such as LZW. Lossless compression is also exceptionally powerful when used in conjunction with Regions Of Interest, as detailed below.


User definable ROIs (Regions Of Interest)

Regions Of Interest are one of the most exciting features of the JPEG2000 specification. They allow areas of an image containing high detail to be compressed either losslessly or at a higher quality setting than those of less detail. For instance, an image depicting a Rose bloom in sharp focus may be compressed using JPEG2000 so the bloom is 'visually lossless', while the background which is out of focus and devoid of detail is compressed much more heavily. ROIs may be rectangular, circular, or indeed any closed-path complex shape. During progressive rendering of streamed JPEG2000 data (covered later in this document), image detail present in ROIs is provided first, and rendered before, all other image information. This has the effect of ensuring significant details in the image appear first, maintaining the viewers interest while the remainder of the image is streamed and rendered.

 


Full support for ICC and CIE Lab colour profiles and non-RGB images

JPEG was designed only to support RGB (3 component) images. This obviously makes it unsuitable for any application employing non-RGB images, with the printing industry requiring storage of 4 colour component colour separated images in CMYK format being a prime example. JPEG2000 solves this dilemma by allowing for an almost unlimited number of components within a single image file, each of which may have its own standard or proprietary definition within the context of the image it resides in. Components may in turn be associated with ICC or CIE Lab colour profiles, allowing for the first time accurate and predictable colour matched results across platforms and applications.


Layered code stream format

The JPEG2000 code stream is a layered format allowing tremendous flexibility in the way an image is decompressed from source. For instance, an image corresponding to 1:10 compression may be extracted from a losslessly compressed image on a server by only transmitting and decompressing 1/10th of the data. This allows images to be accessed at a quality and complexity best suited to the user's individual requirements. In addition, the compression process allows lossy image data to be ordered by resolution, quality, colour and spatial location within the image. This determines progressive rendering behaviour during transmission.


 Greater resilience to data transmission errors

JPEG2000 provides extensive error resilience as a fundamental part of the image code stream specification. Special "packet markers" may be emitted by encoders, allowing for excellent error recovery by decoders when parsing code streams containing random bit errors. In contrast, the majority of inconsistencies that may be encountered in a JPEG code stream are unrecoverable and effectively destroy all remaining image data following the error.


Extensive support for embeddable metadata within images

Finally, JPEG2000 makes extensive provision for rich metadata support within images stored in the JP2 file format. The following metadata types may be stored within the image file:


  IP (Intellectual Property) - Image information such as image creator information and copyright details

  IPTC (International Press Telecommunications Council) - Image information conforming to the IPTC standard

  UUID (Universal Unique Identifier) - Vendor specific image information. · XML (eXtensible Markup Language) - Application defined XML metadata


These metadata capabilities may be utilized by digital archives, image banks, and proprietary applications alike, allowing image files to store far more than simply raster data.


 




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