JPEG 2000 A versatile image coding system for multimedia applications

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1 International Telecommunication Union JPEG 2000 A versatile image coding system for multimedia applications Touradj Ebrahimi EPFL

2 Why another still image compression standard? Low bit-rate compression Lossless and lossy compression Computer generated imaging Transmission in noisy environments Compound documents Flexible progressive coding and random access 2

3 Markets and Applications Internet Mobile Printing Scanning Digital Photography Remote Sensing Facsimile Medical D-Cinema Digital Libraries E-Commerce Space imaging 3

4 Markets and Applications Non-native software 4

5 JPEG 2000 family Part1: Core Coding System Part3: Motion JPEG2000 Part4: Conformance Testing Part6: Compound Image File Format Part2: Extensions Part5: Reference Software Compound Part8: JPSEC (Secure JPEG2000) Part9: JPIP (Interactivity) Part10: JP3D (3-D Extensions) Part11: JPWL (Wireless) 5

6 JPEG 2000 part I A set of tools covering a good proportion of application requirements (20-80 rules) Royalty fee-free, license-fee free (doesn t mean IPR free) Other parts are derived as extensions with backward compatibility to part I (baseline) Reached International Standard status on Dec Amendments have been defined since (one for D-cinema under progress) 6

7 Features in Part I High compression efficiency Lossless colour transformations Lossy and lossless coding in one algorithm Embedded lossy to lossless coding Progressive by resolution, quality, position, Region-of-Interest coding/decoding Error resilience coding Perceptual quality coding Multiple component image coding Tiling Palletized image coding Light file format (optional) 7

8 Comparison of various algorithms from a functionality point of view JPEG 2000 JPEG-LS JPEG MPEG-4 VTC lossless compression performance lossy compression performance progressive bitstreams Region of Interest (ROI) coding arbitrary shaped objects random access low complexity error resilience non-iterative rate control genericity

9 Coding rate-distortion 46 comparisons PSNR (db) bpp J2K R J2K NR JPEG VTC 9

10 Lossless coding performance compression ratio bike café cmpnd1 chart aerial2 target us average JPEG2000 JPEG-LS L-JPEG PNG 10

11 JPEG 2000 algorithm overview code-block sign MSB MSB LSB Wavelet Transform Quantization LSB Entropy Coding Bit stream Original image MSB LSB Bit stream code-block 1 MSB LSB Bit stream code-block 2 MSB LSB Bit stream code-block 3 header Packet 1 Packet 2 Packet P MSB LSB Bit stream code-block N-1 Rate Allocation codestream MSB LSB Bit stream code-block N 11

12 JPEG 2000 algorithm overview Progressive by resolution Progressive by quality Res 0 MSB MSB LSB LSB Res 1 MSB LSB Res 2 MSB LSB MSB LSB Layer 1 Layer 2 Layer 3 header codestream header codestream 12

13 Layer (SNR) progressive example 13

14 Layer (SNR) progressive example 14

15 Layer (SNR) progressive example 15

16 Resolution progressive example 16

17 Resolution progressive example 17

18 Resolution progressive example 18

19 Resolution progressive example 19

20 Compression example JPEG at 0.25 bpp (detail) 20

21 Compression example JPEG2000 at 0.25 bpp (detail) 21

22 Compression example Comparison between Jpeg/Jpeg 2000 Jpeg 20:1 Jpeg 50:1 Original Image Jp2 20:1 Jp2 50:1 Jp2 100:1 22

23 o o o Region of Interest coding principle Region of Interest (ROI) coding allows a non-uniform distribution of quality. The ROI is coded with a higher quality than the background (BG). A higher compression ratio can be achieved with same or higher quality inside ROIs. Static ROIs are defined at encoding time and are suitable for storage, fixed transmission, remote sensing, etc. Commonly referred to as ROI coding. Dynamic ROIs are defined interactively by a user in a client/server situation during a progressive transmission. Suitable for telemedicine, PDAs, mobile communications, etc. They can be achieved by the dynamic generation of layers matching the user s request. 23

24 Lossless ROI mask generation ROI in image domain Final ROI mask 24

25 Encoding ROIs: scaling Original General scaling Maxshift MSB LSB ROI s s o o o o Shift up quantized ROI coefficients by s bitplanes. The value of s is recorded in the codestream header for each ROI. At decoder ROI coefficients are unshifted prior to dequantization. The ROI mask is required at both, encoder and decoder. In maxshift, s is large enough to separate ROI and BG No ROI mask required at decoder ROI <-> BG quality differential not controlled 25

26 ROI Maxshift example ROI 256:1 45:1 (almost all ROI decoded) No ROI ROI covers 5% of image, 2 lowest resolution levels in ROI mask. Magnified portion shown. 26

27 ROI Maxshift example (cont d) ROI 16:1 4:1 (complete decode) No ROI ROI covers 5% of image, 2 lowest resolution levels in ROI mask. Magnified portion shown. 27

28 Error resilience example 16:1 compression ratio. Transmission error rate No errors in codestream header. Magnified portion shown. No transmission errors No error resilience Full error resilience 28

29 Error protection techniques o Coded image data Code-block partition Regular termination of arithmetic coder Segmentation symbols o Packet heads Start of packet markers Packet heads in main / tile codestream header Partition of packets into precincts 29

30 Error resilience visual results Bit error rate = 10-5 JPEG 16:1 CR JPEG :1 CR Images with median quality, of 200 runs 30

31 Error resilience visual results Bit error rate = 10-4 JPEG 16:1 CR JPEG :1 CR Images with median quality, of 200 runs 31

32 JPEG 2000 File Format: JP2 o JP2 is the optional JPEG 2000 file format to encapsulate JPEG 2000 codestreams. Extension: jp2 Allows to embed XML information (e.g., metadata) Alpha channel (e.g., transparency) Accurate color interpretation True color and palette color supported Intellectual property information Capture and default display resolution File magic number File transfer errors (ASCII ftp, 7 bit , etc.) 32

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