Texture classification is a process of distinguishing or classifying different textures into
separate classes. Finding an efficient texture descriptor is a vital step for performing accurate …

Sound-event classification has emerged as an important field of research in recent years. In
particular, investigations using sound data are being conducted in various industrial fields …

The selection of search window size is a critical issue in Non-local means (NLM) algorithm.
The selection of small search window size for a pixel lying in smooth or homogeneous …

摘要针对航拍图像中存在的厚云遮挡问题, 提出了一种基于改进Criminisi
算法的图像修复去厚云算法. 通过改进优先权函数确定了最优待修补块, 完善了最优匹配块搜索 …

Low-dose computed tomography (LDCT) can effectively reduce radiation exposure in
patients. However, with such dose reductions, large increases in speckled noise and streak …

Sparse representation based nonlocal self-similarity methods have been proved to be
effective for single image super-resolution. However, as the noise level increases, these …

The non-local means (NLM) algorithm exploits the self-similarities or repeated patterns
present in the whole image or a predefined search window for denoising the image. The …

为了解决当前图像修复算法在待修复图像纹理结构较为丰富时易产生模糊效应以及块效应的
问题, 提出了一种基于梯度变换与最优似然法则的图像修复算法. 首先, 利用像素点对应的邻域 …

Automatic detection of pig wasting diseases is an important issue in the management of
group-housed pigs. In particular, porcine respiratory diseases are one of the main causes of …

The non-local means (NLM) algorithm uses the self-similarity or repeated patterns present in
images for denoising. NLM algorithm has been extensively researched due to its …