Distance-Reciprocal Distortion Measure for Binary Document Images

An Objective Distortion Measure for Binary Document Images Based on Human Visual Perceptio

As we are moving to a digital world, digital document image processing is receiving more and more attention. Digital document images are essentially binary images. In applications related to binary document images, such as data hiding and watermarking in binary images, distortion may be present and it is necessary to measure the distortion for performance comparison. However, traditional object...

A Distortion Measure for Impulse Noise in Images

In this paper we present a new quality metric for methods dealing with impulse noise removal. The metric is a modiication of the well-known quadratic distortion measure which takes into account the visibility of impulses for a human viewer by means of a threshold and a saturation characteristic. Based on this metric, which can be considered as a new type of cost function, we propose an adaptati...

Extraction of Binary Character/Graphics Images from Grayscale Document Images

On the Distance Transform of Binary Images

Given an n×n binary image I of white and black pixels, we present a simple algorithm for computing the distance transform and the nearest feature transform using the Euclidean metric. The running time of the algorithm is linear in the input size.

Subband coding of binary textual images for document retrieval

Efficient compression of binary textual images is very important for applications such as document archiving and retrieval, digital libraries and facsimile. The basic property of a textual image is the repetitions of small character images and curves inside the document. Exploiting the redundancy of these repetitions is the key step in most of the coding algorithms. In this paper, we use a simi...