JPEG2000 ROI Coding With Fine-Grain Accuracy Through Rate-Distortion Optimization Techniques

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Abstract

Region of interest (ROI) coding is a feature of prominent image coding systems that enables the specification of different coding priorities to certain regions of the image. JPEG2000 provides ROI coding through two mechanisms: either modifying wavelet coefficients or using rate-distortion optimization techniques. Although ROI coding methods based on the modification of wavelet coefficients provide an excellent accuracy to delimit the ROI area (referred to as fine-grain accuracy), they significantly penalize the coding efficiency. On the other hand, methods based on rate-distortion optimization improve the coding efficiency but, so far, have not been able to achieve the intended fine-grain accuracy. This letter introduces two ROI coding methods that, using rate-distortion optimization techniques, achieve a fine-grain accuracy, comparable to the one obtained when wavelet coefficients are modified, and are competitive in terms of coding efficiency. © 2009, IEEE. All rights reserved.
Original languageEnglish
Pages (from-to)45-48
JournalIEEE Signal Processing Letters
Volume16
DOIs
Publication statusPublished - 1 Jan 2009

Keywords

  • JPEG2000
  • rate-distortion optimization
  • region of interest coding

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