Quality assessment of deblocked images
We study the efficiency of deblocking algorithms for improving visual signals degraded by
blocking artifacts from compression. Rather than using only the perceptually questionable …
blocking artifacts from compression. Rather than using only the perceptually questionable …
From rank estimation to rank approximation: Rank residual constraint for image restoration
In this paper, we propose a novel approach to the rank minimization problem, termed rank
residual constraint (RRC) model. Different from existing low-rank based approaches, such …
residual constraint (RRC) model. Different from existing low-rank based approaches, such …
CONCOLOR: Constrained non-convex low-rank model for image deblocking
Due to independent and coarse quantization of transform coefficients in each block, block-
based transform coding usually introduces visually annoying blocking artifacts at low …
based transform coding usually introduces visually annoying blocking artifacts at low …
Reducing image compression artifacts by structural sparse representation and quantization constraint prior
The block discrete cosine transform (BDCT) has been widely used in current image and
video coding standards, owing to its good energy compaction and decorrelation properties …
video coding standards, owing to its good energy compaction and decorrelation properties …
Blocking artifacts suppression in block-coded images using overcomplete wavelet representation
It is well known that at low-bit-rate block discrete cosine transform compressed image
exhibits visually annoying blocking and ringing artifacts. In this paper, we propose a …
exhibits visually annoying blocking and ringing artifacts. In this paper, we propose a …
Image deblocking via sparse representation
Image compression based on block-based Discrete Cosine Transform (BDCT) inevitably
produces annoying blocking artifacts because each block is transformed and quantized …
produces annoying blocking artifacts because each block is transformed and quantized …
DCT quantization noise in compressed images
MA Robertson, RL Stevenson - IEEE Transactions on Circuits …, 2005 - ieeexplore.ieee.org
In lossy image compression schemes utilizing the discrete cosine transform (DCT),
quantization of the DCT coefficients introduces error in the image representation and a loss …
quantization of the DCT coefficients introduces error in the image representation and a loss …
Postprocessing of low bit-rate block DCT coded images based on a fields of experts prior
Transform coding using the discrete cosine transform (DCT) has been widely used in image
and video coding standards, but at low bit rates, the coded images suffer from severe visual …
and video coding standards, but at low bit rates, the coded images suffer from severe visual …
A pseudo-blind convolutional neural network for the reduction of compression artifacts
This paper presents methods based on convolutional neural networks (CNNs) for removing
compression artifacts. We modify the Inception module for the image restoration problem …
compression artifacts. We modify the Inception module for the image restoration problem …
QUARK: Empirical assessment of automaton-based specification miners
D Lo, SC Khoo - 2006 13th Working Conference on Reverse …, 2006 - ieeexplore.ieee.org
Software is often built without specification. Tools to automatically extract specification from
software are needed and many techniques have been proposed. One type of these …
software are needed and many techniques have been proposed. One type of these …