Video coding standards k. R. Rao, Do Nyeon Kim Springer 2014

JPEG XR (Extended Range) :

JXR1. F. Dufaux, G. J. Sullivan, and T. Ebrahimi, “The JPEG XR image coding standard [Standards in Nutshell],” IEEE Signal Process. Magazine, vol. 26, no. 6, pp. 195–199 and 204, Nov. 2009.

JXR2. Kodak Lossless True Color Image Suite. [Online] . Available:

http://r0k.us/graphics/kodak/
JXR3. JPEG Core Experiment for the Evaluation of JPEG XR Image Coding.

[Online]. Available: http://jahia-prod.epfl.ch/site/mmspl/op/edit/page-58334.html
JXR4. Microsoft HD photo specification: http://www.microsoft.com/whdc/xps/wmphotoeula.mspx

JPEG-LS:

JLS1. M. J. Weinberger, G. Seroussi and G. Sapiro, “The LOCO-I Lossless Image Compression Algorithm: Principles and Standardization into JPEG-LS,” IEEE Trans. on Image Processing, vol.9 , pp. 1309 – 1324 , Aug. 2000.

Website : http://www.hpl.hp.com/loco/HPL-98-193RI.pdf
JLS2. J. Weinberger, G. Seroussi, and G. Sapiro, “LOCO-I: A low complexity, context-based, lossless image compression algorithm”, Hewlett-Packard Laboratories, Palo Alto, CA.
JLS3. Ibid, “LOCO-I A low Complexity Context-based, lossless image compression algorithm”, Proc. 1996 DCC, pp.140-149, Snowbird, Utah, Mar. 1996.

JLS4. See Z. Zhang, R Veerla and K.R. Rao, “A modified advanced image coding” CANS University Press, pp. 110-116, 2010.

PROJECT:
JLS-P1. This paper involves comparison of various image coding standards such as JPEG, JPEG-LS, JPEG2000, JPEG XR, advanced image coding (AIC) and modified AIC (MAIC) (Also H.264/MPEG4 AVC intra mode only). Extend this comparison to HEVC intra mode only. Consider test images at various spatial resolutions and at different bit rates. Include BD-bit rate and BD-PSNR as metrics besides PSNR and SSIM. Consider also implementation complexity.

JPEG:

JPEG1. G. K. Wallace, “The JPEG still picture compression standard,” Commun. ACM, vol. 34, no. 4, pp. 30–44, Apr. 1991.
JPEG2. Independent JPEG Group. [Online]. Available: http://www.ijg.org/ WWW.jpeg.org
JPEG3. J. Aas. Mozilla Advances JPEG Encoding With Mozjpeg 2.0.

[Online]. Available: https://blog.mozilla.org/research/2014/07/15/mozilla-advances- jpeg-encoding-with-mozjpeg-2-0/, accessed Jul. 2014.
JPEG4. W. B. Pennebaker and J. L. Mitchell, “JPEG Still Image Data Compression Standard,” Van Nostrand Reinhold, New York, 1992.
JPEG5. JPEG reference software Website: ftp://ftp.simtel.net/pub/simtelnet/msdos/graphics/jpegsr6.zip
JPEG6. F. Huang et al, “Reversible data hiding in JPEG images”, IEEE Trans. CSVT (early access). Several papers related to reversible and other data hiding schemes are listed as references at the end. See also the related paper: X. Zhang et al, “Lossless and reversible data hiding in encrypted images with public key cryptography”, IEEE Trans. CSVT (early access)
JPEG7. P.A.M. Oliveira at al, “Low-complexity image and video coding based on an approximate discrete Tchebichef transform”, IEEE Trans. CSVT (early access)

BOSSbase image data set http://www.agents.cz/boss/BOSSFinal IMAGE DATA SET

JPEG-P1 Oliveira et al [JPEG7] have developed a new low complexity approximation the discrete Tchebichef transform (DTT) and embedded it in JPEG and H.64/AVC. Extend this to 16-point DTT and develop a fast algorithm. Draw a flow graph similar to that shown in Fig.4.

JPEG-P2 Develop hardware aspects of the 16-point DTT as described in VI Hardware section. This implies that the 16- point DTT needs to be implemented on Xilinx FPGA board.
JPEG-P3 See JPEG-P1. Embed the new DTT in HEVC Main profile and compare its performance with anchor HEVC. (See Fig. 4)
JPEG-P4 Huang et al [JPEG6] have proposed a new histogram shifting based RDH (reversible data hiding) scheme in JPEG images that realizes high embedding capacity and good visual quality while preserving the JPEG file size. Implement this scheme and confirm the results as described in the figures.
JPEG-P5 See JPEG-P4. In section IV Conclusions the authors state that the proposed novel block selection strategy can result in better visual quality and less JPEG file size. They also state that this technique may be applied to other RDH schemes to improve their performance. Several references related to RDH in images are listed at the end in [JPEG6]. Apply this strategy in the RDH schemes and evaluate their performances. Use different test images at various quality factors.

JPEG XT:

JXT1. T. Richter et al, “The JPEG XT suite of standards: status and future plans,” [9599 – 30], SPIE. Optics + Photonics, San Diego, California, USA, 9 – 13, Aug. 2015.

JXT2. M. Fairchild : “The HDR Photographic survey,” available online at http://rit-mcsl.org/fairchild/HDR.html (retrieved July 2015).
JXT3. R. Mantiuk: “pfstools : High Dynamic Range Images and Video,” available online at http://pfstools.sourceforge.net/ (retrieved July 2015).
JXT4. T. Ritcther : “JPEG XT Reference Codec 1.31 (ISO License),” available online at http:// www.jpeg.org/jpegxt/software.html (retrieved July 2015)
JXT5. T. Richter, ”Lossless Coding Extensions for JPEG,” IEEE Data Compression Conference, pp. 143 -152, Mar. 2015.

(See JXT1) JPEG XT is a standardization effort targeting the extension of the JPEG features by enabling support for high dynamic range imaging, lossless and near lossless coding, and alpha channel coding, while also guaranteeing backward and forward compatibility with the JPEG legacy format. JPEG XT has nine parts described in detail in Fig. 2. Further extensions relate to JPEG Privacy and Security and others such as JP Search and JPEG systems are listed in the conclusion. JPEG XT is forward and backward compatible with legacy JPEG unlike JPEG-LS and JPEG2000.