Quantum noise in multipixel image processing

Reducing Noise Interference in Image Query Processing

Query-by-example is the most popular query model for today’s image retrieval systems. A typical query image contains not only relevant objects (e.g., Eiffel Tower), but also irrelevant image areas (e.g., the background). The latter, referred to as noise in this paper, has limited the effectiveness of existing image retrieval systems. To address this drawback, the user must be allowed to draw co...

Noise and Texture Detection in Image Processing

The idea of decomposing a given image into the cartoon part and the texture-noise part has become classical and there are basic standard algorithms to do that such as RudinOsher-Fatemi [ROF92], and modifications (e.g. Meyer [Mey01]; Osher, Solé, Vese [OSV03] and others). We discuss the Osher-Solé-Vese Ḣ−1-model of image decomposition and propose several natural modifications by using alternativ...

Quantum noise in X-ray image intensifiers.

Explicit expressions are given for the relative variance of the output screen of X-ray image intensifiers, and for detection quantum efficiency as a function of the technical features of the intensifier. The analysis takes into account all conversion stages and physical processes inside the image intensifier and includes a special treatment of scintillation. The results are analysed numerically...

Discrete quantum walks and quantum image processing

Quantum approach to Image processing

Quantum computing is a new trend in computationtheory and a quantum mechanical system has several useful properties like Entanglement . In this paper tried to explain some method and algortithm for image processing that works in a quantum computer and how to profits from advantages of quantum system , and then illustrate several computational experiment in this direction.