Psychology and Education Journal http://psychologyandeducation.net/pae/index.php/pae <h2><strong>PSYCHOLOGY AND EDUCATION (ISSN: 1553-6939)<br /></strong></h2> <div class="row" style="border: 1px solid grey; padding: 5px; text-align: justify;">Dear Authors and Researchers,<br />We would like to inform you that the U.S. ISSN Center at the Library of Congress has confirmed that the correct ISSN number of the Journal <strong>Psychology and Education</strong> is ISSN 1553-6939. This ISSN is to be used instead of ISSN 0033-3077 which is the ISSN that belongs to the former title, “<strong>Psychology</strong>.” Each time a journal undergoes a major change of title a new ISSN is assigned. <strong>Psychology and Education</strong> also has been assigned a Linking ISSN (ISSN-L). The ISSN-L is available for use when there is a need to identify and link to a continuing resource without regard to format, for example in services such as OpenURL, library catalogues, search engines or knowledge bases. The next issue of <strong>Psychology and Education</strong> will be published with ISSN 1553-6969. But the previous ISSN will be also available in the ISSN Portal to retrieve the record for <strong>Psychology</strong> because it remains the identifier for the former title <strong>Psychology</strong> and the articles published under that title.</div> <div class="row"> <p style="text-align: justify;"> </p> <p style="text-align: justify;"><strong>Psychology and Education</strong> <strong>(ISSN: 1553-6939)</strong> is a quality journal devoted to basic research, theory, and techniques and arts of practice in the general field of psychology and education. <strong>Psychology and Education</strong> is published bimonthly. There are numerous papers on important aspects of psychology and education which can find no place in the professional literature. This journal is dedicated to filling this void.<br />Preparation of manuscripts: In formal aspects, the manuscripts should follow closely the general directions given in the Publication Manual of the American Psychological Association (6th Edition). EXCEPTIONS: All data in photographs, tables, drawings, figures and graphs must be simplified and stated in the RESULTS section of the paper. All papers must be formatted in MSWord, typed, Times New Roman font #12, double-spaced, with 1 inch margins, and submitted electronically or printed manuscript in original copy. Manuscripts must be accompanied by an abstract of about 70-100 words. The manuscript and abstract should conform to the American Psychological Association Manual Style, 6th Edition.<br />Given the present trends in the publishing industry and to reach the global audience without any restrictions, we have opted to move the journal from subscription-based to Gold open access.<br />A shift in this mode has certain benefits:</p> <ul> <li>Increased usage and citation</li> <li>Easy compliance with institutional and funder mandates</li> <li>Retention of copyright by authors</li> <li>Greater public engagement</li> <li>Faster impact</li> </ul> <p style="text-align: justify;"><strong>Psychology and Education</strong>, the Editor, nor the Board of Editors (individually or collectively), assumes no responsibility for statements of fact or opinion in the papers printed. Authors are responsible for obtaining copyright permissions. Advertising rates supplied on request. Books for review should be sent to the Editor.<br />Articles in <strong>Psychology and Education</strong> are listed in PsycINFO, American Psychological Association (APA), Scopus, psychologyandeducation.net, and shared with other websites, and numerous gratis copies are mailed to the Library of Congress, EBSCO subscription services, and universities in developing countries overseas.</p> </div> en-US Wed, 15 Sep 2021 04:55:51 +0000 OJS 3.2.1.3 http://blogs.law.harvard.edu/tech/rss 60 An Effective Noise Removal Technique for Digital Images using Super Pixel Classification http://psychologyandeducation.net/pae/index.php/pae/article/view/6704 <p>Good learning image priors from the noise corrupted images or clean natural images are very important in preserving the local edge and texture regions while denoising images. This paper exhibits a novel picture denouncing calculation in view of super pixel bunching and inadequate portrayal, named as the super pixel grouping and scanty portrayal (SC-SR) calculation. Rather than most existing techniques, the proposed calculation additionally learns picture nonlocal self-likeness (NSS) earlier with mid-level visual prompts by means of super pixel grouping by the inadequate subspace bunching strategy. As the super pixel edges clung to the picture edges and mirrored the picture basic highlights, auxiliary and edge priors were considered for a superior investigation of the NSS earlier. Next, each comparable super pixel district was viewed as a looking window to look for the principal L most comparative patches to every nearby fix inside it. For each comparative super pixel area, a particular lexicon was found out to acquire the underlying inadequate coefficient of each fix. Also, to advance the viability of the scanty coefficient for each fix, a weighted inadequate coding model was built under a requirement of weighted normal meager coefficient of the primary L most comparable patches. Exploratory outcomes showed that the proposed calculation accomplished exceptionally aggressive denoising execution, particularly in picture edges and fine structure conservation in examination with best-in-class denoising calculations.</p> Vinta Surendra reddy, Dr. Mohini Prashar Copyright (c) 2021 https://creativecommons.org/licenses/by/4.0 http://psychologyandeducation.net/pae/index.php/pae/article/view/6704 Wed, 15 Sep 2021 00:00:00 +0000