Encoding of images containing no-data regions within JPEG2000 framework

González-Conejero, Jorge; Serra-Sagristà, Joan; Rubies-Feijoo, Carles; Donoso-Bach, Lluís

doi:10.1109/icip.2008.4711940

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…Another alternative approach could be based on the MaxShift Region of Interest (ROI) Coding method (provided by the JPEG2000 standard). According to previous results [19,20], the MaxShift approach obtains similar results than usual JPEG2000 -i.e., without applying any of the proposed approaches-, with no particular advantage for NODATA coding; therefore, the MaxShift approach is not considered in this paper. …”

Section: Introductionsupporting

confidence: 85%

JPEG2000 encoding of images with NODATA regions for remote sensing applications

Zabala

González-Conejero

Serra-Sagristà

et al. 2010

J. Appl. Remote Sens

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The aim of this work is to, within the JPEG2000 framework, enhance the coding performance obtained for images that contain regions without useful information, or without information at all, here named as NODATA regions. In Geographic Information Systems (GIS) and in Remote Sensing (RS), NODATA regions arise due to several factors, such as geometric and radiometric corrections, atmospheric events, the overlapping of successive layers of information, etc. Most coding systems are not devised to consider these regions separately from the rest of the image, sometimes causing a loss in the coding efficiency and in the post-processing applications. We propose two approaches that address this issue; the first technique (Average Data Region, ADR) is carried out as simple pre-processing and the second technique (ShapeAdaptive JPEG2000, SA-JPEG2000) modifies the coding system to avoid the regions without information. Experimental results, performed on data from real applications and different scenarios, suggest that the proposed approaches can achieve, e.g., for SA-JPEG2000, a Signal-toNoise Ratio improvement of about 8 dB. Moreover, in a post-processing application such as a digital classification, the best classification results are obtained when the proposed approaches SA-JPEG2000 and ADR are applied.

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Section: Introductionsupporting

confidence: 85%

JPEG2000 encoding of images with NODATA regions for remote sensing applications

Zabala

González-Conejero

Serra-Sagristà

et al. 2010

J. Appl. Remote Sens

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“…The first coding system is 2D-BISK, it is applied independently to each component using two different coding passes in each bitplane: the Sorting pass, that finds significant coefficients within the image, and the Refinement pass, that refines significant coefficients from previous bitplanes. The second coding system is a multi-component version of a SA JPEG2000 [13] (SA-JPEG2000) and it is also applied for each component independently. The last coding system is the 3D extension of the 2D-BISK; the 3D-BISK is devised to encode all components at the same time taking advantage of the energy compaction provided by the 3D Squared wavelet transform.…”

Section: Encoding Schemementioning

confidence: 99%

Encoding scheme for multi-component images containing no-data regions

González-Conejero

Bartrina-Rapesta

Serra-Sagristà

2009

2009 16th IEEE International Conference on Image Processing (ICIP)

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Most sensors used in Remote Sensing applications produce multicomponent images. These images may contain areas without information (no-data regions). This paper introduces a scheme composed by three main stages to encode this kind of images. The first stage is devised to exploit the spectral and spatial redundancies through the KLT and DWT. The second stage applies either the 2D-BISK, or its 3D extension (3D-BISK), or the multi-component Shape Adaptive (SA) version of JPEG2000. In the last stage, two different ratecontrol methods to combine the components' bitstreams are proposed. Experiments, performed on data from real applications, suggest that the best approach is SA KLT and SA 2D-DWT to decorrelate the spectral and spatial redundancies respectively, and a 2D coding system, followed by a rate-control method. The SNR improvement is from 5 dB to 20 dB over other strategies.

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“…The usage of 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]. InTelemedicine or in Remote Sensing (RS) it is desirable tomaintain the best quality of the ROI area, preserving relevantinformation of BG, namely the most perceptual frequencies.…”

Section: B Application In Other Image Compression Fieldsmentioning

confidence: 99%

pGBbBShift - Perceptual Generalized Bitplane-by-Bitplane Shift

Moreno¹

2013

IJACSA

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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 HumanVisual 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 filter that predicts color perception. pGBbBShift is compared against classicalROI 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 Keywords-Image Coding; JPEG2000; Hi-SET; region of interest(ROI); bitplane coding; wavelet coding; maximum shift (MaxShift);bitplane-by-bitplane shift (BbBShift); generalized bitplane-by-bitplane shift (GBbBShift)

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Encoding of images containing no-data regions within JPEG2000 framework

Cited by 9 publications

References 15 publications

JPEG2000 encoding of images with NODATA regions for remote sensing applications

JPEG2000 encoding of images with NODATA regions for remote sensing applications

Encoding scheme for multi-component images containing no-data regions

pGBbBShift - Perceptual Generalized Bitplane-by-Bitplane Shift

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