Matches in SemOpenAlex for { <https://semopenalex.org/work/W2170379784> ?p ?o ?g. }
Showing items 1 to 74 of
74
with 100 items per page.
- W2170379784 abstract "A new approach to image enhancement based on fusion of a number of filters using a reinforcement learning scheme is presented. In most applications the result of applying a single filter is usually unsatisfactory. Appropriate fusion of the results of several different filters, such as median, local average, sharpening, and Wiener filters, can resolve this difficulty. Many different techniques already exist in literatures. In this work, a reinforcement-learning agent will be proposed. During learning, the agent takes some actions (i.e., different weights for filters) to change its environment (the image quality). Reinforcement is provided by a scalar evaluation determined subjectively by the user. The approach has several advantages. The user interaction eliminates the need for objective image quality measures. No formal user model is required. Finally, no training data is necessary. The paper describes the implementation and evaluation of a global reinforced adjustment of the weights of the different filters." @default.
- W2170379784 created "2016-06-24" @default.
- W2170379784 creator A5044042472 @default.
- W2170379784 creator A5045282871 @default.
- W2170379784 date "2004-06-21" @default.
- W2170379784 modified "2023-09-26" @default.
- W2170379784 title "Filter fusion for image enhancement using reinforcement learning" @default.
- W2170379784 cites W1515851193 @default.
- W2170379784 cites W2059657882 @default.
- W2170379784 cites W2121863487 @default.
- W2170379784 cites W590777244 @default.
- W2170379784 doi "https://doi.org/10.1109/ccece.2003.1226027" @default.
- W2170379784 hasPublicationYear "2004" @default.
- W2170379784 type Work @default.
- W2170379784 sameAs 2170379784 @default.
- W2170379784 citedByCount "11" @default.
- W2170379784 countsByYear W21703797842013 @default.
- W2170379784 countsByYear W21703797842016 @default.
- W2170379784 countsByYear W21703797842020 @default.
- W2170379784 countsByYear W21703797842021 @default.
- W2170379784 crossrefType "proceedings-article" @default.
- W2170379784 hasAuthorship W2170379784A5044042472 @default.
- W2170379784 hasAuthorship W2170379784A5045282871 @default.
- W2170379784 hasConcept C106131492 @default.
- W2170379784 hasConcept C115961682 @default.
- W2170379784 hasConcept C119857082 @default.
- W2170379784 hasConcept C127413603 @default.
- W2170379784 hasConcept C154945302 @default.
- W2170379784 hasConcept C2781137444 @default.
- W2170379784 hasConcept C31972630 @default.
- W2170379784 hasConcept C41008148 @default.
- W2170379784 hasConcept C66938386 @default.
- W2170379784 hasConcept C67203356 @default.
- W2170379784 hasConcept C69744172 @default.
- W2170379784 hasConcept C97541855 @default.
- W2170379784 hasConceptScore W2170379784C106131492 @default.
- W2170379784 hasConceptScore W2170379784C115961682 @default.
- W2170379784 hasConceptScore W2170379784C119857082 @default.
- W2170379784 hasConceptScore W2170379784C127413603 @default.
- W2170379784 hasConceptScore W2170379784C154945302 @default.
- W2170379784 hasConceptScore W2170379784C2781137444 @default.
- W2170379784 hasConceptScore W2170379784C31972630 @default.
- W2170379784 hasConceptScore W2170379784C41008148 @default.
- W2170379784 hasConceptScore W2170379784C66938386 @default.
- W2170379784 hasConceptScore W2170379784C67203356 @default.
- W2170379784 hasConceptScore W2170379784C69744172 @default.
- W2170379784 hasConceptScore W2170379784C97541855 @default.
- W2170379784 hasLocation W21703797841 @default.
- W2170379784 hasOpenAccess W2170379784 @default.
- W2170379784 hasPrimaryLocation W21703797841 @default.
- W2170379784 hasRelatedWork W1510211992 @default.
- W2170379784 hasRelatedWork W1552916774 @default.
- W2170379784 hasRelatedWork W1566354487 @default.
- W2170379784 hasRelatedWork W1805811297 @default.
- W2170379784 hasRelatedWork W1829057619 @default.
- W2170379784 hasRelatedWork W1848708078 @default.
- W2170379784 hasRelatedWork W1854413781 @default.
- W2170379784 hasRelatedWork W1866015947 @default.
- W2170379784 hasRelatedWork W1867266698 @default.
- W2170379784 hasRelatedWork W1891337627 @default.
- W2170379784 hasRelatedWork W1915197259 @default.
- W2170379784 hasRelatedWork W1954893619 @default.
- W2170379784 hasRelatedWork W2140895229 @default.
- W2170379784 hasRelatedWork W2141262742 @default.
- W2170379784 hasRelatedWork W2263031732 @default.
- W2170379784 hasRelatedWork W2270815037 @default.
- W2170379784 hasRelatedWork W2298879153 @default.
- W2170379784 hasRelatedWork W3099551298 @default.
- W2170379784 hasRelatedWork W39766038 @default.
- W2170379784 hasRelatedWork W938567954 @default.
- W2170379784 isParatext "false" @default.
- W2170379784 isRetracted "false" @default.
- W2170379784 magId "2170379784" @default.
- W2170379784 workType "article" @default.