TAILIEUCHUNG - The Essential Guide to Image Processing- P16

The Essential Guide to Image Processing- P16:We are in the middle of an exciting period of time in the field of image processing. Indeed, scarcely a week passes where we do not hear an announcement of some new technological breakthrough in the areas of digital computation and telecommunication. | Performance and Extensions 457 If the segmentation symbol is not decoded properly the data in the corresponding bit plane and of the subsequent bit planes in the code-block should be discarded. Finally resynchronization markers including the numbering of packets are also inserted in front of each packet in a tile. PERFORMANCE AND EXTENSIONS The performance of JPEG2000 when compared with the JPEG baseline algorithm is briefly discussed in this section. The extensions included in Part 2 of the JPEG2000 standard are also listed. Comparison of Performance The efficiency of the JPEG2000 lossy coding algorithm in comparison with the JPEG baseline compression standard has been extensively studied and key results are summarized in 7 9 24 . The superior RD and error resilience performance together with features such as progressive coding by resolution scalability and region of interest clearly demonstrate the advantages of JPEG2000 over the baseline JPEG with optimum Huffman codes . For coding common test images such as Foreman and Lena in the range of bits pixel an improvement in the peak signal-to-noise ratio PSNR for JPEG2000 is consistently demonstrated at each compression ratio. For example for the Foreman image an improvement of to 4 dB is observed as the bits per pixel are reduced from to 7 . Part 2 Extensions Most of the technologies that have not been included in Part 1 due to their complexity or because of intellectual property rights IPR issues have been included in Part 2 14 . These extensions concern the use of the following different offset values for the different image components different deadzone sizes for the different subbands TCQ 23 visual masking based on the application of a nonlinearity to the wavelet coefficients 44 45 arbitrary wavelet decomposition for each tile component arbitrary wavelet filters single sample tile overlap arbitrary scaling of the ROI coefficients with the necessity to code and

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