Visual attention for region of interest coding in JPEG 2000

Bradley, Andrew P.; Stentiford, Fred

doi:10.1016/s1047-3203(03)00037-3

Cited by 65 publications

(30 citation statements)

References 7 publications

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“…(2B(x)+1) 2 . P x can also be expressed as a cumulative sum, as follows: Block diagram illustrating the concept of corners in the pixelspreading.…”

Section: B the Blurring Algorithmmentioning

confidence: 99%

“…F OVEATED [1] and region-of-interest [2] coding techniques employ a spatially non-uniform bitrate, resolution or quality across an image or video frame. These techniques, referred to here as space-variant coding techniques, exploit the spatial variation in visual importance (saliency) of regions across the scene and the eccentricity-dependent resolution of the human eye.…”

Section: Introductionmentioning

confidence: 99%

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Image Coding Using Depth Blurring for Aesthetically Acceptable Distortion

Popkin

Cavallaro

Hands

2011

IEEE Trans. on Image Process.

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Abstract-We introduce the concept of depth-based blurring to achieve an aesthetically acceptable distortion when reducing the bitrate in image coding. The proposed depth-based blurring is a prefiltering that reduces high frequency components by mimicking the limited depth of field effect that occurs in cameras. To cope with the challenge of avoiding intensity leakage at the boundaries of objects when blurring at different depth levels, we introduce a selective blurring algorithm that simulates occlusion effects as occur in natural blurring. The proposed algorithm can handle any number of blurring and occlusion levels. Subjective experiments show that the proposed algorithm outperforms foveation filtering, which is the dominant approach for bitrate reduction by space-variant prefiltering.Index Terms-Image coding, depth of field, foveated image coding, space-variant image processing.

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“…(2B(x)+1) 2 . P x can also be expressed as a cumulative sum, as follows: Block diagram illustrating the concept of corners in the pixelspreading.…”

Section: B the Blurring Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Image Coding Using Depth Blurring for Aesthetically Acceptable Distortion

Popkin

Cavallaro

Hands

2011

IEEE Trans. on Image Process.

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“…The wavelet compression methods were superior to DCT methods (Shaou et al, 2009). Set Partitioning In Hierarchical Trees (Said et al, Moorthi andAmutha 2023 1996) and JPEG2000 (Taubman et al, 2001;Bartrina et al, 2011;Bradley and Stentiford, 2002) has been proven that algorithms achieved good results for compression of digital images (Arokiapriya et al, 2011). The Maxshift method (Pablo et al, 2008) allowed the ROI compression.…”

Section: Introductionmentioning

confidence: 99%

High quality model for compression of medical images in telemedicine

Moorthi¹,

Amutha²

2013

Sci. Res. Essays

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Generally lossless compression should be used for ROI (Region of Interest) and lossy compression should be used for ROB (Region of Background) with a lower quality. In existing system, Region of Interest (ROI) is selected manually, but ROI is selected automatically in the proposed method, preprocessing is done to improve the visual quality of the image. Segmentation is carried out accurately and efficiently using region growing followed by morphological processing method. The features are extracted and classification is done in medical image using Fuzzy logic. ROB part of an image is compressed using SPIHT (Set Partition In Hierarchical Tree) algorithm in near lossless manner. Finally the ROI is superimposed in compressed Non ROI (ROB) image. This method improves the compression ratio and increase the PSNR value compared to existing method. The proposed method is used for implementations of teleradiology and digital picture archiving and communications (PACS) systems practically.

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“…To meet these goals, we apply a number of grey scale morphological operators (image opening and image closing with a disk structure of size 3 followed by hole closing) to the tile matrix (Gonzalez and Woods 2008). The combination of grey scale morphology followed by a binary threshold has been shown to be preferable to the initial application of a threshold followed by binary morphology (Bradley and Stentiford 2003).…”

Section: Morphological Filteringmentioning

confidence: 99%

Methods for rapid and high quality acquisition of whole slide images

Fan¹

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In the past two decades, whole slide imaging (WSI) has been increasingly used in clinical pathology, research and education thanks to advances in technology. However, existing digital slide scanners for WSI are incapable of efficiently scanning cytology specimens in "glass-faithful quality". In particular, cervical cytology specimens used for cervical cancer screening need to be imaged at multiple focal planes and at high spatial resolution. So, the aim of this thesis is to develop novel methods for improving the scan efficiency of cytology specimens. Preliminary investigations narrowed the research into two directions: to optimise the scan parameters (e.g. the scan map, the focus profile map and the number of focal planes to be scanned) for scanning cytology specimens, and to investigate the fast slanted (specimen) scan.Creating an accurate scan map followed by estimating the focus profile map of the specimen can significantly reduce the scan time, but previous methods are not robust to slide artefacts such as ink marker and dusts. The first research aspect of this thesis has focused on the development of a robust method that not only creates an accurate scan map but also provides a ranked list of focus candidates required for estimating the focus map. Specifically, tiles representing field-of-views to be scanned at high resolution are located on the low resolution images and evaluated with regards to whether they contain foreground objects and how good they are as focus candidates. Four metrics were proposed for the tile evaluation: threshold index (TI) that measures the image intensity; normalised auto-correlation index (NACI) that measures the spatial image similarity; auto-phase correlation index (APCI) that measures the image phase diversity; and entropy index (EI) that measures the predictability of image intensities. The experimental results indicated that while NACI, APCI and EI are effective for specimen delineation, only APCI is capable of selecting superior focus candidates and ignoring artefacts.Knowing the three-dimensional distribution of the specimen can help to determine the minimal number of focal planes to be acquired, and hence the minimal scan time. A method has been developed to evaluate the thickness of all cell and cell clumps in cervical cytology specimens incorporating an exhaustive high-resolution scan, an over-complete wavelet transform across multi-focal planes and a cell clump segmentation method. The accuracy and usefulness of the method was evaluated and demonstrated by quantitative analysis of ten Pap stained Thin-prep cervical slides. In particular, it was found that creating a focus profile map was able to reduce the number of scanning focal planes from 25.4 to 21.4 on average. It was also shown that the distribution of cells was skewed towards the cover-slip (top of the slide), so by considering the thickness of the specimen, an improved focal map i can be produced to further reduce the required number of 1 micron spaced focal planes to 18.6.The last research aspect of...

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Visual attention for region of interest coding in JPEG 2000

Cited by 65 publications

References 7 publications

Image Coding Using Depth Blurring for Aesthetically Acceptable Distortion

Image Coding Using Depth Blurring for Aesthetically Acceptable Distortion

High quality model for compression of medical images in telemedicine

Methods for rapid and high quality acquisition of whole slide images

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