A system and a method for adaptive multi-logic based image clarity enhancement

Disclosed is a system (100) for adaptive image enhancement using a coordinated multi-logic processing framework. The system
(100) comprises an input acquisition module (102) operatively coupled to a pre-processing module (104) for conditioning image
data. A gradient analysis unit (106), a gradient normalization module (108), and a clarity score computation unit (110) are
configured to extract structural features. A neutrosophic transformation engine (112) with a neutrosophic parameter estimation
unit (114) generates uncertainty-aware representations. A heptagonal fuzzy valuation module (116), a fuzzy membership
function generator (118), and a linguistic weight assignment module (120) assign non-linear clarity levels. A decision fusionengine (122) with a fusion weight optimization unit (124) integrates multi-logic outputs. An enhancement confidencecomputation unit (126) and an intensity adjustment module (128) perform adaptive pixel modification, regulated by a noisesuppression controller (130) and an edge preservation controller (132).