Comparative image analysis of Apple and Samsung devices: a technical perspective

Afia Kazmi, Elaine Smith, Ayman Amer, Mohamed Hafez, Ahmed Solyman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Downloads (Pure)

Abstract

The search for the most outstanding smartphone camera has been a frequent topic of conversation in the ever-changing world of technology. Through a thorough analysis, this study seeks to recommend the best smartphone camera. Pictures from rival phones were captured in various categories and thoroughly compared. From an engineering standpoint, our approach clarifies why specific images are better than others. Success in one area does not always translate to success in another. Furthermore, our study adds to the current conversation about Apple and Samsung's rivalry in the mobile device industry. Even though this competition has received much attention, previous studies have noticeably lacked a critical technical viewpoint on picture analysis. Our study paper examines the image processing capabilities of Samsung and Apple devices using sophisticated techniques such as marker-controlled watershed segmentation, texture segmentation, and color-based Segmentation in the Lab color space. Our research reveals notable differences in these industry leaders' image analysis performance. This realization provides consumers with helpful knowledge and acts as a guide for upcoming advancements in the industry. Through the investigation of this study, users, developers, and manufacturers may now compare Apple and Samsung smartphones in a more unbiased and knowledgeable manner, obtaining a better comprehension of each device's capabilities.

Original languageEnglish
Title of host publication2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
PublisherIEEE
ISBN (Electronic)9798350373363
ISBN (Print)9798350373370
DOIs
Publication statusPublished - 18 Jul 2024
Event2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence - Zarqa, Jordan
Duration: 27 Dec 202328 Dec 2023
https://eiceeai.zu.edu.jo/ (Link to conference website)

Publication series

NameInternational Engineering Conference on Electrical, Energy, and Artificial Intelligence
PublisherIEEE
ISSN (Print)None

Conference

Conference2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence
Abbreviated titleEICEEAI 2023
Country/TerritoryJordan
CityZarqa
Period27/12/2328/12/23
Internet address

Keywords

  • Apple vs Samsung camera performance
  • Computational photography
  • Image processing capabilities
  • Image quality analysis
  • Mobile photography
  • Smartphone camera comparison

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Health Informatics

Fingerprint

Dive into the research topics of 'Comparative image analysis of Apple and Samsung devices: a technical perspective'. Together they form a unique fingerprint.

Cite this