145 research outputs found

    A new approach for restoring block-transform coded images with estimation of correlation matrices

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    New image restoration performance measures with high precision

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    Reduction of block-transform image coding artifacts by using local statistics of transform coefficients

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    Optimal choice of local regularization weights in iterative image restoration

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    An improved quantitative measure of image restoration quality

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    New adaptive iterative image restoration algorithm

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    Image restoration by regularisation in uncorrelated transform domain

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    Author name used in this publication: S. O. ChoyAuthor name used in this publication: Y. H. ChanAuthor name used in this publication: W. C. SiuCentre for Multimedia Signal Processing, Department of Electronic and Information Engineering2000-2001 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

    Adaptive image noise filtering using transform domain local statistics

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    Hybrid Sequencing of Uncompressed and Compressed 3D Stereoscopic Video: A Preliminary Quality Evaluation

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    The use of 3D stereoscopic technology with high quality videos can provide visual entertainment to viewers. However, the bandwidth of typical communication channels cannot transmit uncompressed 3D videos, resulting in the need for video quality compression. This paper presents a series of preliminary studies to investigate the subjective perception of uncompressed and compressed video sequences, and proposes the ‘hybrid’ sequencing of uncompressed and compressed content in a single stereoscopic 3D video as an alternative approach for limited bandwidth transmission. However, the hybrid uncompressed/compressed sequencing of stereoscopic 3D video may affect the correlation between the left and right views of the stereoscopic videos required for depth perception, potentially leading to lower Quality of Experience (QoE) of viewers. This paper therefore investigates both the objective and subjective quality evaluation of the proposed hybrid sequencing of stereoscopic video sequences. Initial investigations into objective metrics to measure the difference in quality of the two stereoscopic views due to the proposed hybrid sequencing of uncompressed and compressed videos were also conducted

    A class of competitive learning models which avoids neuron underutilization problem

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