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In this chapter, we adopt user-defined salient image features as training examples for a specially designed model-based neural network to perform feature detection. Specifically, we have investigated an alternative MBNN with hierarchical architecture [48, 62, 128] which is capable of learning user-specified features through an interactive process. It will be shown that this network is capable of generalizing from the set of specified...
25 p dtu 01/11/2012 167 1
Từ khóa: Edge Detection Using Model-Based Neural Networks, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
Adaptive image processing a computational intelligence perspective - Blind Image Deconvolution
We will again restrict the presentation of this chapter to the popular linear image degradation model: g = Hˆ + n f (7.1) where g, f and n are the lexicographically ordered degraded image, original image and additive white Gaussian noise (AWGN), respectively [21, 145]. H is the linear distortion operator determined by the point spread function (PSF), h. Blind image deconvolution is an inverse problem of rendering the best estimates, ˆ and h,...
46 p dtu 01/11/2012 162 1
Từ khóa: Blind Image Deconvolution, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
In this chapter, we propose an alternative solution to the problem of adaptive regularization by adopting a new global cost measure. It was previously seen that the newly formulated ETC measure is capable of distinguishing between the textures and edges in an image. It is further observed in this chapter that the distribution function of this measure value in a typical image assumes a characteristic shape, which is comparatively invariant...
28 p dtu 01/11/2012 180 1
Từ khóa: Adaptive Regularization Using Evolutionary Computation, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
In this chapter, we introduce the technique of model-based neural networks, which is to be applied to our problem of adaptive regularization in image restoration. Instead of adopting the general neural network architecture introduced in Chapter 1 for our adaptive image processing applications, we propose the use of modular model-based neural network for our purpose. We used the term “modelbased” in the sense of Caelli et al. [62], where...
45 p dtu 01/11/2012 182 1
Từ khóa: Model-Based Adaptive Image Restoration, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
In Chapter 3, we mentioned the problems caused by considering the image to be an ensemble of stationary processes. Any restoration process based on this concept can only ever produce sub-optimal results. However, there is another consideration. When a restoration algorithm is designed with the aim of creating an image which will be more pleasing to the human eye, we must incorporate some kind of model of the human visual system. At the basis...
26 p dtu 01/11/2012 174 1
Từ khóa: Perceptually Motivated Image Restoration, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
In the previous chapter, it was seen that as long as the weights of the network remain constant from iteration to iteration, Algorithm 2.3 will converge. This result holds regardless of whether the weights of the network vary from pixel to pixel across the image to be restored. We will refer to this type of variation of the weights from region to region in the image as spatial variation. The analysis in the previous chapter focused solely on...
44 p dtu 01/11/2012 156 1
Từ khóa: Spatially Adaptive Image Restoration, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
Images are often recorded under a wide variety of circumstances. As imaging technology is rapidly advancing, our interest in recording unusual or irreproducible phenomena is increasing as well. We often push imaging technology to its very limits. For this reason we will always have to handle images suffering from some form of degradation.
19 p dtu 01/11/2012 190 2
Từ khóa: Fundamentals of Neural Network Image Restoration, Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng
Adaptive image processing a computational intelligence perspective
In this book, we consider the application of computational intelligence techniques to the problem of adaptive image processing. In adaptive image processing, it is usually required to identify each image pixel with a particular feature type (eg., smooth regions, edges, textures, etc.) for separate processing, which constitutes a segmentation problem. We will then establish image models to describe the desired appearance of the respective...
44 p dtu 01/11/2012 181 1
Từ khóa: Adaptive image processing a computational intelligence perspective, image processing, network techniques, kỹ thuật xử lý, công nghệ mạng,