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In this work, a sample rate estimator is proposed for selective graphics rendering so that the samples are allocated such that the best perceived image quality can be achieved under a given sample budget. In the proposed estimator, the sample rate of a pixel is decided by not only the visual attention (VA) level of the region to which the pixel belongs but also the required rendering complexity (RC)...
We propose a unified deblocking/error-concealment algorithm for simultaneously alleviating blockiness and restoring lost blocks. Blockiness and block loss are two of the most frequently encountered artifacts for block-DCT based visual signal coding and transmission. The problem of error-concealment and deblocking is formulated as block-wise expectation estimation processes conditioned on available...
In this paper, the problem of concealing missing image/video blocks is casted into a framework of Bayesian estimation. The conditional expectation of the missing block vector is taken over a pilot vector of correctly decoded pixels near the missing block. Multiple observations of the missing vector and pilot vectors obtained in a nonlocal manner are used to approximate the expectation. We design a...
In just noticeable difference (JND) models, evaluation of contrast masking (CM) is a crucial step. More specifically, CM due to edge masking (EM) and texture masking (TM) needs to be distinguished due to the entropy masking property of the human visual system. However, TM is not estimated accurately in the existing JND models since they fail to distinguish TM from EM. In this letter, we propose an...
We propose to use Block-based Bilateral Filter (BBF), which extends the classical Bilateral Filter (BF) through operating in block-wise manner, to conceal missing image blocks in the application of compressed image transmission over wireless channels. We show that the problem of error-concealment using BBF can be considered as a superset of image denoising using BF. The BBF has the ability to capture...
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