Artificial Intelligent Algorithms for Image Dehazing and Non-Uniform Illumination Enhancement [electronic resource] / by Teena Sharma, Nishchal K. Verma.

Por: Sharma, Teena [author.]Colaborador(es): Verma, Nishchal K [author.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Algorithms for Intelligent SystemsEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XXVII, 136 p. 62 illus., 57 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819720118Tema(s): Computational intelligence | Image processing | Artificial intelligence | Computational Intelligence | Image Processing | Artificial IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónicoTexto
Contenidos:
Introduction -- Literature Survey -- Modified Transmission Map Estimation Function -- Compact Single Image Dehazing Network -- Z-Score Approach for Image Enhancement.
En: Springer Nature eBookResumen: This book offers a detailed insight of artificial intelligence (AI) algorithms for image dehazing and non-uniform illumination enhancement. In this book, various image enhancement techniques under hazy and non-uniform illumination conditions are discussed. The book specifically provides a detail on how to approach image enhancement under different outdoor conditions using AI tools. The biggest benefit a reader would accrue is to get exposed to the various aspects one should take care of while working with digital images. The book also includes multiple inventions which were recently introduced by the authors for image enhancement and reviews the state of the art in respective subject matters.
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Introduction -- Literature Survey -- Modified Transmission Map Estimation Function -- Compact Single Image Dehazing Network -- Z-Score Approach for Image Enhancement.

This book offers a detailed insight of artificial intelligence (AI) algorithms for image dehazing and non-uniform illumination enhancement. In this book, various image enhancement techniques under hazy and non-uniform illumination conditions are discussed. The book specifically provides a detail on how to approach image enhancement under different outdoor conditions using AI tools. The biggest benefit a reader would accrue is to get exposed to the various aspects one should take care of while working with digital images. The book also includes multiple inventions which were recently introduced by the authors for image enhancement and reviews the state of the art in respective subject matters.

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