Edge is the basic characteristic of image, edge detection plays an important role in computer vision and image analysis. The pretty usefull and identical information contained in edge of sub-image enable edge detection to be the main approach to image analysis and recognition. This paper compares and analyzes several kinds of classical algorithms of image edge detection, including Roberts, Sobe...

Image quality assessment is an important topic in the field of digital image processing. In this study, a full-reference image quality assessment method called Riesz transform and Visual contrast sensitivity-based feature SIMilarity index (RVSIM) is proposed. More precisely, a Log-Gabor filter is first used to decompose reference and distorted images, and Riesz transform is performed on the dec...

The Robustness of Facial Expression Recognition (FER) is based on information contained in color facial images. The Tensor Perceptual Color Framework (TPCF) enables multilinear image analysis in different color spaces. This demonstrates that the color components provide additional information for robust FER. By using this framework color components RGB, YCbCr, CIELab or CIELuv space of color im...

Figure 1: Framework overview. An image sequence is rendered and passed to the evaluated VSLAM system. A log of the systems operation is created and processed by the evaluation system. From the known scene structure and trajectory, the log is used to compute a sparse ground truth feature map, as well as ground truth (or rather “ideal”) measurements. Finally, plot data is generated comparing esti...

For a real smooth algebraic curve A ⊂ (C), the amoeba A ⊂ R is the image of A under the map Log : (x, y) 7→ (log |x|, log |y|). We describe a universal bound for the total curvature of the real amoeba ARA and we prove that this bound is reached if and only if the curve A is a simple Harnack curve in the sense of Mikhalkin.

In this paper, we consider the use of total variation (TV) minimization for compressive imaging, that is, image reconstruction from subsampled measurements. Focusing on two important imaging modalities---namely, Fourier and structured binary via Walsh--Hadamard transform---we derive uniform recovery guarantees asserting stable robust arbitrary random sampling strategies. Using this, then a clas...

This paper presents a new class of the "frequency domain"-based signal/image enhancement algorithms including magnitude reduction, log-magnitude reduction, iterative magnitude and a log-reduction zonal magnitude technique. These algorithms are described and applied for detection and visualization of objects within an image. The new technique is based on the so-called sequency ordered orthogonal...

Spatial image processing chips, known as silicon retinas, are based on the architecture of vertebrate retina and can be mathematically represented as the Laplacian of Gaussian (LOG) and Difference of Gaussian (DOG). In this paper, attention has been paid on implementing a retina function through the LOG model. Previous implementations have used a hexagonal resistive mesh within the pixel array,...

This paper proposes a novel watermarking scheme against geometric attacks, combined with the holographic technology and the log-polar transform. In this paper, we first use discrete cosine transform into the original image, then do edge detection for the low frequency part, then do log-polar transform to edge image and make it binarization. We use a key to choose a certain size of the binary im...