Winkler, "Image complexity and spatial information," Qual. Multimed. Exp. (QoMEX), Fifth Int. Work. on. IEEE, 2013.Honghai Yu; Winkler, S., "Image complexity and spatial information," Quality of Multimedia Expe
The aim of this work is to take advantage of image complexity in the design of macro-level neural networks for medical image segmentation. To demonstrate the efficacy and wide applicability of image complexity analysis for neural network based medical image segmentation, we present experiments on 10...
However, the efficiency is achieved at the expense of complexity to perform mathematical evaluation. Based on the requirements for efficient interpolation and compression with less complexity, Bilinear interpolation is selected in this research for image resampling. The region of interest specified by the...
While Mamba-based architectures offer linear computational complexity and impressive performance, they are constrained by their limited understanding of the spatial and spectral information in HSIs. To address these limitations, we propose a novel spectral Mamba-enhanced neighborhood attention (SMENA) ...
To make high-resolution image synthesis with diffusion models more efficient, the proposed method involves using an autoencoding model to separate the compressive and generative phases. This reduces computational complexity by operating in a lower-dimensional latent space, leverages the inductive bias of...
In this work, an image captioning method is proposed that uses discrete wavelet decomposition along with convolutional neural network (WCNN) for extracting the spectral information in addition to the spatial and semantic features of the image. An attempt is made to enhance the visual modelling of ...
As 3D cultures with increased complexity are more routinely used, it is essential that the analysis methods evolve at the same pace and that advancements in computational tools should be leveraged to facilitate this development. Figure 1 Heterotypic 3D cultures generate a heterogeneous mix of tumors ...
Linear filtration is nothing but a frequency filtering, whereby certain frequencies are left unchanged, and the other are suppressed. The operation of filtration can be performed both in the frequency as well as in spatial domain. While in terms of computational complexity, performing the filtering ...
This study suggested that the problem of camera attribution by using JPEG compression should focus on the image complexity factors in addition with image quality factor to improve the detection performance. Table 20. Comparison of source camera brand/model attribution frameworks by using JPEG ...
(Asp-clean) algorithm for radio interference images, which modeled the image as a set of adaptive scale pixels in a more accurate way, to reconstruct the sky image of an asymmetric structure, at the cost of increasing complexity of the algorithm and computational cost. The calculation time of...