Total Variation (TV) is an effective and popular prior model in the field of regularization-based image processing. This paper focuses on total variation for removing impulse noise in image restoration. This type of noise frequently arises in data acquisition and transmission due to many reasons, e.g. a faulty sensor or analog-to-digital converter errors. Removing this noise is an important tas...

Recently a number of CNN-based techniques were proposed to remove image compression artifacts. As in other restoration applications, these techniques all learn a mapping from decompressed patches to the original counterparts under the ubiquitous `2 metric. However, this approach is incapable of restoring distinctive image details which may be statistical outliers but have high semantic importan...

A novel watermarking scheme for color images has been proposed using column DCT wavelet transform. To improve the robustness of watermarking scheme, compressed watermark with tolerable fidelity is embedded into host image. Middle frequency coefficients are selected for embedding watermark so that the proposed scheme can sustain attacks like lossy image compression where high frequency coefficie...

We study the problem of evaluating super resolution methods. Traditional evaluation methods usually judge the quality of super resolved images based on a single measure of their difference with the original high resolution images. In this paper, we proposed to use both fidelity (the difference with original images) and naturalness (human visual perception of super resolved images) for evaluatio...

Recorded color images differ from direct human viewing by the lack of dynamic range compression and color constancy. Research is summarized which develops the center/surround retinex concept originated by Edwin Land through a singlescale design to a multi-scale design with color restoration (MSRCR). The MSRCR synthesizes dynamic range compression, color constancy, and color rendition and, there...

The novel high performance adaptive fidelity algorithms for automated multi-modality images’ feature detection, registration, and fusion is presented. The new fusion method, which consists of the Adaptive Fidelity Exploratory Algorithm (AFEA) and the Heuristic Optimization Algorithm (HOA), implements automatic adaptation from frame to frame with a few tunable thresholds. The new algorithms have...

Many tasks in image processing are carried out by solving appropriate optimization problems. As is well known, the square of the Euclidian distance is widely used as a fitting term, even though it has been shown not to be the best choice in terms of quantifying visual quality. To overcome this problem, a number of papers have examined the use of the Structural Similarity Index Measure (SSIM) as...

We show in benchtop experiments that wave-front phase estimation by phase diversity can be significantly improved by simultaneous amplitude estimation. Processing speed, which will be important for real-time wave-front control applications, can be enhanced by use of small-format detectors with pixels that do not fully sample the diffraction limit. Using an object-independent phase-diversity alg...

This paper presents a model for assessing watermark quality with regard to fidelity. The model can be applied for assessing the quality of watermarks as well as investigating the effect of attacks on watermarked images. The proposed model is based on image properties as perceived by the human eye and attempts to provide algorithmic measurements that correspond to humanperceived watermark fideli...

Global illumination rendering in real-time for high-fidelity graphics remains one of the biggest challenges for computer graphics in the foreseeable future. Recent work has shown that significant amounts of time can be saved by selectively rendering in high quality only those parts of the image that are considered perceptually more important. Regions of the final rendering that are deemed more ...