e o When errors are clearly visible, the blockiness of some artifacts distinguishes them from th riginal image content, suggesting a way of reducing these artifacts. Presumably, the human viewer k e identifies the artifacts by assuming the image does not have 8-pixel by 8-pixel block features. Bloc dge variance, the sum of squared differences between adjacent block edge pixels, is one simple s ...

We have studied the changes of myoglobin (MB) IN heart muscle cells from eight corpses died of electrocution. The changes were compared with that of the heart muscle cells died of fall. The results indicated that the immunohistochemical changes of Mb were as follows: (1) blocky separate from heart muscle cell; (2) drift away into the interval of the heart muscle. The Mb changes were small parts...

Nanostructured bainite was obtained in high-carbon Si-Al-rich steel by low-temperature (220-260 °C) isothermal transformation after austenitisation at different temperatures (900 °C, 1000 °C, and 1150 °C). Improved strength-ductility-toughness balance was achieved in the nanostructured bainitic steel austenitised at low temperatures (900 °C and 1000 °C). Increasing the austenitising temperature...

In this paper, we propose a bi-domain technique to reduce the blocking artifacts commonly incurred in image processing. Some pixels are sampled in the shifted image block and some high frequency components of the corresponding transformed block are discarded. By solving for the remaining unknown pixel values and the transformed coefficients, a less blocky image is obtained. Simulation results u...

This paper presents a comparison of basic progressive and wavelet radiosity algorithms. Several variants of each algorithm were run on a set of scenes at several parameter settings, and results were examined in terms of their error, speed, and memory consumption. We did not compare more advanced variations such as clustering or discontinuity meshing. Our results show that progressive radiosity ...

In timeseries classification, shapelets are subsequences of timeseries with high discriminative power. Existing methods perform a combinatorial search for shapelet discovery. Even with speedup heuristics such as pruning, clustering, and dimensionality reduction, the search remains computationally expensive. In this paper, we take an entirely different approach and reformulate the shapelet disco...

We propose a formulation of full-wavefield inversion (FWI) as a constrained optimization problem, and describe a computationally efficient technique for solving constrained full-wavefield inversion (CFWI). The technique is based on using a total-variation regularization method, with the regularization weighted in favor of constraining deeper subsurface model sections. The method helps to promot...