Abstract
The paper we present pGBbBShift. This algorithm permits to code any Region of Interest (ROI) in a perceptual way, i.e. the presented algorithm introduces some characteristics of the Human Visual System. Furthermore, it introduces features of chromatic induction to the GBbBShift method when bitplanes of ROI and background areas are coded. Thus, the included features balance visual importance of some pixels regardless their numerical importance, namely we avoid to use Information Theory criteria. Visual criteria are applied using the CIWaM, which is contrast band-pass ?lter that predicts color perception. pGBbBShift is compared against classical ROI algorithms, such as the MaxShift method of JPEG2000 and results show that there is no perceptual difference. pGBbBShift method is an open algorithm that can be applied in any wavelet based image coder such as JPEG2000, SPIHT or SPECK. Finally, we applied pGBbBShift to Hi-SET coder and we obtain the best results when the overall visual image quality is assessed
Highlights
Region of interest (ROI) image coding is a feature that modern image coders have, which allows to encode an specific region with better quality than the rest of the image or background (BG)
The usage of Region of Interest (ROI) coded images depends on an specificapplication, but in some fields such as manipulation andtransmission of images is important to enhance the imagequality of some areas and to reduce it in others[9], [10]
A perceptual implementation of the Region of Interest,ρGBbBShift(), is proposed, which is a generalized methodthat can be applied to any wavelet-based compressor
Summary
Region of interest (ROI) image coding is a feature that modern image coders have, which allows to encode an specific region with better quality than the rest of the image or background (BG). In some cases, depending on the scaling value, φ, some bits of ROI are simultaneously encoded with BG This method allows to decode and refine the ROI before the rest of the image. The ROI coefficients are scaled downφ bitplanes before inverse wavelet transformation is applied
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