Showing papers by "Georgios Triantafyllidis published in 2001"
26 Sep 2001
TL;DR: A novel frequency domain technique for image blocking artifact detection is presented that uses the estimated relative quantization error calculated when the DCT coefficients are modeled by a Laplacian probability function.
Abstract: A novel frequency domain technique for image blocking artifact detection is presented. The algorithm detects the regions of the image which present visible blocking artifacts. This detection is performed in the frequency domain and uses the estimated relative quantization error calculated when the DCT coefficients are modeled by a Laplacian probability function. Experimental results illustrating the performance of the proposed method are presented and evaluated.
56 citations
07 Oct 2001
TL;DR: A novel frequency domain technique for image blocking artifact reduction by minimizing a novel enhanced form of the mean squared difference of slope (MSDS) for every frequency separately.
Abstract: A novel frequency domain technique for image blocking artifact reduction is presented. For each block, its DC and AC coefficients are recalculated for artifact reduction. To achieve this, a closed form representation of the optimal correction of the DCT coefficients is produced by minimizing a novel enhanced form of the mean squared difference of slope (MSDS), for every frequency separately. This correction of each DCT coefficient depends on the eight neighboring coefficients in the subband-like representation of the DCT and is constrained by the upper and lower bound of the quantized DCT coefficients. Experimental results illustrating the performance of the proposed method are presented and evaluated.
18 citations
07 May 2001
TL;DR: A novel frequency domain technique for image blocking artifact detection is presented that uses the estimated relative quantization error calculated when the DCT coefficients are modeled by a Laplacian probability function.
Abstract: A novel frequency domain technique for image blocking artifact detection is presented. The algorithm detects the regions of the image which present visible blocking artifacts. This detection is performed in the frequency domain and uses the estimated relative quantization error calculated when the DCT coefficients are modeled by a Laplacian probability function. Experimental results illustrating the performance of the proposed method are presented and evaluated.
7 citations
08 Feb 2001
TL;DR: An efficient technique based on the Bayes test is introduced, for the identification of the occlusion and visible background and foreground areas in a noisy stereoscopic image pair.
Abstract: An efficient technique based on the Bayes test is introduced in this paper, for the identification of the occlusion and visible background and foreground areas in a noisy stereoscopic image pair. Four hypotheses are used for the formulation of compound Bayes decision rules. Experimental results illustrating the performance of the proposed techniques are presented and evaluated.
1 citations
04 Jul 2001
TL;DR: An efficient technique based on the Bayes test is introduced, for detecting occlusions in a noisy stereoscopic image pair, and experimental results illustrating the performance of the proposed techniques are presented.
Abstract: An efficient technique based on the Bayes test is introduced, for detecting occlusions in a noisy stereoscopic image pair. Two hypotheses are used for the formulation of the Bayes decision rules: the first describes the displaced areas while the other describes the occlusion areas. Experimental results illustrating the performance of the proposed techniques are presented and evaluated.
1 citations