Image Interpolation using Feedforward Neural Network
نویسندگان
چکیده
As various kinds of output devices emerged, such as highresolution printers or a display of PDA(Personal Digital Assistant), the importance of high-quality resolution conversion has been increasing. This paper proposes a new method for enlarging image with high quality. One of the largest problems on image enlargement is the exaggeration of the jaggy edges. To remedy this problem, we propose a new interpolation method, which uses artificial neural network to determine the optimal values of interpolated pixels. The experimental results are shown and evaluated. The effectiveness of our methods is discussed by comparing with the conventional methods.
منابع مشابه
Remarks on Interpolation and Recognition Using Neural Nets
We consider different types of single-hidden-Iayer feedforward nets: with or without direct input to output connections, and using either threshold or sigmoidal activation functions. The main results show that direct connections in threshold nets double the recognition but not the interpolation power, while using sigmoids rather than thresholds allows (at least) doubling both. Various results a...
متن کاملMulti-View Face Detection in Open Environments using Gabor Features and Neural Networks
Multi-view face detection in open environments is a challenging task, due to the wide variations in illumination, face appearances and occlusion. In this paper, a robust method for multi-view face detection in open environments, using a combination of Gabor features and neural networks, is presented. Firstly, the effect of changing the Gabor filter parameters (orientation, frequency, standard d...
متن کاملInterpolation and rates of convergence for a class of neural networks
This paper presents a type of feedforward neural networks (FNNs), which can be used to approximately interpolate, with arbitrary precision, any set of distinct data in multidimensional Euclidean spaces. They can also uniformly approximate any continuous functions of one variable or two variables. By using the modulus of continuity of function as metric, the rates of convergence of approximate i...
متن کاملHow to make sigma-pi neural networks perform perfectly on regular training sets
Abstract--In this paper, we show how to design three-layer feedforward neural networks with sigma-pi units in the hidden layer in order to perform perfectly on regular training sets. We obtain real-time design schemes based on massively parallel sampling and induced by so-called hyperbolic cardinal translation-type interpolation operators. The real-time nature of our strategy is due to the fact...
متن کاملFeedforward Neural Networks
Feedforward neural networks have been used to perform classifications and to learn functional mappings. This paper compares human performance to feedforward neural networks using back propagation in generating functional relationships from limited data. Many business judgments are made in situations where decision makers are required to infer relationships porn partial, incomplete, and conflict...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2005