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HDR Images Compression
Published in Francesco Banterle, Alessandro Artusi, Kurt Debattista, Alan Chalmers, Advanced High Dynamic Range Imaging, 2017
Francesco Banterle, Alessandro Artusi, Kurt Debattista, Alan Chalmers
JPEG XR is a file format for compressing still images [135]. It is a standard (ISO/IEC 29199) and based on Microsoft’s HD Photo. JPEG XR is a modern file format that supports images with an arbitrary number of color channels (monochrome, RGB, CM Y K, and n channels images), different bit-depths (8, 16, and 32 bits per color channel), lossy and lossless compression (including RGBE for HDR images), different color representations, transparency (alpha channel), metadata, numbers representations (unsigned integer, fixed-point, and floating point), etc. Such capabilities mean that it can support HDR via the increased bit-depths using methods similar to those for JPEG2000, discussed above, and directly via half and full floating point support.
Transform Mirroring and Rotation
Published in Humberto Ochoa-Domínguez, K. R. Rao, Discrete Cosine Transform, 2019
Humberto Ochoa-Domínguez, K. R. Rao
JPEG XR or JPEG-eXtended Range is a lossy and lossless still-image compression standard and file format [202] developed and patented by Microsoft under the name HD photo (Windows Media Photo). The format is preferred for Open XML Paper Specification documents. JPEG XR has image coding capabilities beyond the original baseline JPEG standard and it is intended for high/extended dynamic range imagery [439].
Image compression in resource-constrained eye tracking devices*
Published in Journal of Information and Telecommunication, 2019
Pavel Morozkin, Marc Swynghedauw, Maria Trocan
There are also several works that aimed at introducing the ROI selection into the standard baseline JPEG (Varma & Bagadi, 2014) as well as in JPEG XR (Dufaux, Sullivan, & Ebrahimi, 2009), which is a new still image compression technique approved by the JPEG committee, adopted as a standard by ITU-T and aimed to reach the speed of JPEG and the quality of JPEG2000. Several efforts are aimed at adding the ROI selection into video coding standards, such as H.264 (MPEG-4 AVC) (Ferreira, Cruz, & Assunção, 2008; Van Leuven, Van Schevensteen, Dams, & Schelkens, 2008) and H.265 (HEVC) (Patel & Rao, 2015, November). It should be noted (to avoid misunderstanding) that SuriCog's EyeDee™ eye tracking solution does not involve ROI-selection-based compression of the eye images. This type of compression was not yet tested, but can be considered for the further usage. Instead EyeDee™ is based on finding dynamic ROI (on top of the static ROI) following by transmission of this dynamic ROI either in uncompressed form, compressed with standard codecs (JPEG/JPEG2000) or compressed with proposed in this paper NN-based approaches aimed on finding of the FOI on top of the ROI and compression of the FOI with standard codecs (JPEG/JPEG2000) or their optimized versions.