This paper discusses the general model of Non-uniform sampling image, and presents the sampling principle of discrete image.
该文讨论了采样图象的一般模型,提出了离散图象的采样准则,给出了一种迭代算法。
Using the discrete image degradation model, a block-based SVD filter scheme was applied for the image denoising with an automatically determined singular value rank.
从图像的退化离散模型出发,对图像进行逐层分块奇异值分解,并自动选取奇异值重组阶数以减少噪声对估计的影响。
But the current view of cognitive science leans more toward a new image: memories are like emergent events summed out of many discrete, unmemory-like fragments stored in the brain.
然而现代认知科学更倾向于一个新的观点:记忆好比由储存在脑中的许多离散的、非记忆似的碎片汇总起来而从中涌现出来的事件。
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