AesthetiCropper: A Cropping System for Novice Users to Make Aesthetic Images

Image cropping is a crucial means of enhancing the aesthetic quality of images. However, it relies on photographic knowledge and experience. For novice users, it is challenging to obtain satisfactory results through cropping. To meet the image cropping needs of novice users and improve efficiency, this article designs and develops an intelligent image cropping application, AesthetiCropper, and proposes two cropping methods. One is based on visual balance. The other is based on deep learning. This system features an intuitive user interface and automatically crops images to high aesthetic standards. It also offers customizable parameters and an editing module to meet users’ personalized requirements. User studies show that participants are more satisfied with the system’s cropping results compared to manual ones. The System Usability Scale (SUS) score indicates that its usability reaches a good level, making it worthy of promotion.

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29850522
Primary Topic
Visual Attention and Saliency Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

AesthetiCropper: A Cropping System for Novice Users to Make Aesthetic Images

Figshare
Visual Attention and Saliency Detection
article

AesthetiCropper: A Cropping System for Novice Users to Make Aesthetic Images

article en

Abstract

Image cropping is a crucial means of enhancing the aesthetic quality of images. However, it relies on photographic knowledge and experience. For novice users, it is challenging to obtain satisfactory results through cropping. To meet the image cropping needs of novice users and improve efficiency, this article designs and develops an intelligent image cropping application, AesthetiCropper, and proposes two cropping methods. One is based on visual balance. The other is based on deep learning. This system features an intuitive user interface and automatically crops images to high aesthetic standards. It also offers customizable parameters and an editing module to meet users’ personalized requirements. User studies show that participants are more satisfied with the system’s cropping results compared to manual ones. The System Usability Scale (SUS) score indicates that its usability reaches a good level, making it worthy of promotion.

Figshare
Openalex Percentile: Top 52%
Visual Attention and Saliency Detection
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