{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T16:44:45Z","timestamp":1648572285419},"reference-count":16,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2015,10]]},"abstract":"<jats:p> We propose that the Magno (M)-channel filter, belonging to the extended classical receptive field (ECRF) model, provides us with \"vision at a glance\", by performing smoothing with edge preservation. We compare the performance of the M-channel filter with the well-known bilateral filter in achieving such \"vision at a glance\" which is akin to image preprocessing in the computer vision domain. We find that at higher noise levels, the M-channel filter performs better than the bilateral filter in terms of reducing noise while preserving edge details. The M-channel filter is also significantly simpler and therefore faster than the bilateral filter. Overall, the M-channel filter enables us to model, simulate and arrive at a better understanding of some of the initial mechanisms in visual pathway, while simultaneously providing a fast, biologically inspired algorithm for digital image preprocessing. <\/jats:p>","DOI":"10.1142\/s0219467815500151","type":"journal-article","created":{"date-parts":[[2015,8,12]],"date-time":"2015-08-12T04:49:44Z","timestamp":1439354984000},"page":"1550015","source":"Crossref","is-referenced-by-count":0,"title":["Comparison Between an HVS Inspired Linear Filter and the Bilateral Filter in Performing \"Vision at a Glance\" through Smoothing with Edge Preservation"],"prefix":"10.1142","volume":"15","author":[{"given":"Debjyoti","family":"Bhattacharjee","sequence":"first","affiliation":[{"name":"Computer and Communication Sciences Division, Indian Statistical Institute, 203 B. T. 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