Regeneration Filter: Enhancing Mosaic Algorithm for Near Salt & Pepper Noise Reduction.

This paper presents a Regeneration filter for reducing near Salt-and-Pepper (nS&P) noise in images, designed for selective noise removal while simultaneously preserving structural details. Unlike conventional methods, the proposed filter eliminates the need for median or other filters, focusing exclusively on restoring noise-affected pixels through localized contextual analysis in the immediate surroundings. Our approach employs an iterative processing method, where additional iterations do not degrade the image quality achieved after the first filtration, even with high noise densities up to 97% spatial distribution.

Psychopharmacotherapy and the Hero's Journey: Mental Health Medicines and Script Change.

The concept of a script in Transactional Analysis (TA) can be considered as the basis for the occurrence and duration of mental disorders. As such, a script change can be the solution leading to improved mental health and well-being. In addition to redecision therapy, offered by TA, there are other techniques for changing the script.

Recognition of the script in Serbian documents using frequency occurrence and co-occurrence analysis.

Any document in Serbian language can be written in two different scripts: Latin or Cyrillic. Although characteristics of these scripts are similar, some of their statistical measures are quite different. The paper proposed a method for the extraction of certain script from document according to the occurrence and co-occurrence of the script types.

An approach to a comprehensive test framework for analysis and evaluation of text line segmentation algorithms.

The paper introduces a testing framework for the evaluation and validation of text line segmentation algorithms. Text line segmentation represents the key action for correct optical character recognition. Many of the tests for the evaluation of text line segmentation algorithms deal with text databases as reference templates.

Basic test framework for the evaluation of text line segmentation and text parameter extraction.

Text line segmentation is an essential stage in off-line optical character recognition (OCR) systems. It is a key because inaccurately segmented text lines will lead to OCR failure. Text line segmentation of handwritten documents is a complex and diverse problem, complicated by the nature of handwriting.