This paper presents a novel decoding approach for directional DCT-coded images. In contrast to the conventional approach of performing the inverse transform, our new approach takes the decoding as a general restoration problem in which the total variation (TV) based optimization has been utilized. In this TV-based approach, we propose to measure the gradient according to the directional coding mode determined for each image block at the encoder side. We also consider some neighboring blocks so that possible blocking artifacts can be reduced after the decoding. Experimental results are included to verify the effectiveness of this novel decoding approach. ©2010 IEEE
[[abstract]]This paper proposes a new ADPCM method for image coding called directional ADPCM which c...
In image compression, classical block-based separable transforms tend to be inefficient when image b...
Transform-based image coding has been the mainstream for many years, as witnessed in from the early ...
Abstract—This paper introduces a “directional total variation” (TV) where the gradients are weighted...
Nearly all block-based transform schemes for image and video coding developed so far choose the 2-D ...
Nearly all block-based transform schemes for image and video coding developed so far choose the 2-D ...
A new block-based DCT framework has been developed recently in[1] in which the first transform may c...
Nearly all block-based transform techniques developed so far for image and video coding applications...
This paper proposes an extension of total variation (TV) im-age deconvolution technique that enhance...
This paper introduces an adaptive postprocessing method in Block-based Discrete Cosine Transform (BD...
Digital images and videos undoubtedly contribute a big trunk in digital multimedia data people are e...
Abstract—The direction-adaptive partitioned block transform (DA-PBT) is proposed to exploit the dire...
This paper introduces an adaptive postprocessing method in Block-based Discrete Cosine Transform (BD...
This paper proposes a new compression algorithm based on the directional DCT (DDCT) bases introduced...
The total variation regularizer is well suited to piecewise smooth images. If we add the fact that t...
[[abstract]]This paper proposes a new ADPCM method for image coding called directional ADPCM which c...
In image compression, classical block-based separable transforms tend to be inefficient when image b...
Transform-based image coding has been the mainstream for many years, as witnessed in from the early ...
Abstract—This paper introduces a “directional total variation” (TV) where the gradients are weighted...
Nearly all block-based transform schemes for image and video coding developed so far choose the 2-D ...
Nearly all block-based transform schemes for image and video coding developed so far choose the 2-D ...
A new block-based DCT framework has been developed recently in[1] in which the first transform may c...
Nearly all block-based transform techniques developed so far for image and video coding applications...
This paper proposes an extension of total variation (TV) im-age deconvolution technique that enhance...
This paper introduces an adaptive postprocessing method in Block-based Discrete Cosine Transform (BD...
Digital images and videos undoubtedly contribute a big trunk in digital multimedia data people are e...
Abstract—The direction-adaptive partitioned block transform (DA-PBT) is proposed to exploit the dire...
This paper introduces an adaptive postprocessing method in Block-based Discrete Cosine Transform (BD...
This paper proposes a new compression algorithm based on the directional DCT (DDCT) bases introduced...
The total variation regularizer is well suited to piecewise smooth images. If we add the fact that t...
[[abstract]]This paper proposes a new ADPCM method for image coding called directional ADPCM which c...
In image compression, classical block-based separable transforms tend to be inefficient when image b...
Transform-based image coding has been the mainstream for many years, as witnessed in from the early ...