image restoration

An overview of state-of-the-art image restoration in electron microscopy

In Life Science research, electron microscopy (EM) is an essential tool for morphological analysis at the subcellular level as it allows for visualization at nanometer resolution. However, electron micrographs contain image degradations such as noise …

Advanced statistical tools for enhanced quality digital imaging with realistic capture models

No-reference blur estimation based on the average cone ratio in the wavelet domain

We propose a wavelet based metric of blurriness in the digital images named CogACR -- Center of gravity of the Average Cone Ratio. The metric is highly robust to noise and able to distinguish between a great range of blurriness. To automate the …

Single-image super-resolution using sparsity constraints and non-local similarities at multiple resolution scales

Traditional super-resolution methods produce a clean high-resolution image from several observed degraded low-resolution images following an acquisition or degradation model. Such a model describes how each output pixel is related to one or more …