For binary images, marginal noise can be directly removed from the original document image. Suppose that f(x,y) is the original image, f′(x,y) is the reduced image after marginal noise detection, and R is the reduction rate. Any black pixel, which has f′(x,y)=1, represents a marginal noise.
Marginal noise detection will reduce an original document image into a smaller image, and then find marginal noise regions according to the shape, length, and ...
People also ask
How to remove noise from image in image processing?
What are the three types of filters used to reduce noise in an image?
How is noise removed from medical images?
What are the different types of noises in images and noise removing techniques?
This paper presents a simple and effective approach for removing both textual and non-textual noise by finding borders of noise regions using projection ...
In this paper, we propose a technique for removing margin noise (both textual and non-textual noise) from scanned document images.
We had performed experiments on 50 input digital document images. The proposed method can detect and remove the marginal noises with a high average accuracy ...
Marginal noise detection will reduce an original document image into a smaller image, and then find marginal noise regions according to the shape, length, and ...
Mar 15, 2013 · The methods in this group search for the noise patterns in an image by extracting its features, then remove areas which contain those patterns.
Median filter is used extensively in denoising the noisy image. This filter is a spatial nonlinear filter that can remove the noise especially salt and paper ...
Abstract. We describe and evaluate a method to robustly detect the page frame in document images, locating the actual page contents area and removing ...
1). Marginal Noise: In Document digitalization, the old books are translated into digitalized form by scanning the pages of old books. The resulting images ...