Impulse Noise Filtering through Evolutionary Approach using Noise-free Pixels
نویسندگان
چکیده
منابع مشابه
Removal of Impulse Noise by Selective Filtering
In this paper we present a novel structure for removal of impulse noise which is based on a combination of impulse detection and nonlinear ltering. The impulse detector is realized as a neural network which will be shown to possess a very simple structure. This means that, compared to traditional approaches, a signiicant gain in performance can be achieved with considerably smaller complexity. ...
متن کاملFiltering of impulse noise in digital signals using logical transform
Median filters excel at removing impulse noise from digital signals, with high accuracy and quick running-times. However, they have limitations if the resulting signals are to be used for feature recognition purposes, as they often remove crucial details and add unwanted noise. In this paper, an algorithm for digital filtering using the logical transform is proposed. This method is able to achi...
متن کاملCircular Mean Filtering For Textures Noise Reduction
In this paper, a special preprocessing operations (filter) is proposed to decrease the effects of noise of textures. This filter using average of circular neighbor points (Cmean) to reduce noise effect. Comparing this filter with other average filters such as square mean filter and square median filter indicates that it provides more noise reduction and increases the classification accuracy...
متن کاملImpulse Noise Removal from Mammogram Images using Combiner Approach
Median filter is quite effective in recovering the images confounded by salt and pepper noise. It discards outliers (impulses) effectively, but it fails to provide adequate smoothing for images corrupted with non-impulse noise. In this paper, two nonlinear techniques for image filtering, namely, New Filter I and New Filter II are proposed based on a nonlinear high-pass filter algorithm. New Fil...
متن کاملContext-based prediction filtering of impulse noise images
The paper presents a new image denoising method for impulse noise in grayscale images using a context-based prediction scheme. The algorithm replaces the noisy pixel with the value occurring with the highest frequency, in the same context as the replaceable pixel. Since it is a context-based technique, it preserves the details in the filtered images better than other methods. In the aim of vali...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: KIPS Transactions on Software and Data Engineering
سال: 2013
ISSN: 2287-5905
DOI: 10.3745/ktsde.2013.2.5.347