{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T05:03:36Z","timestamp":1773032616589,"version":"3.50.1"},"reference-count":15,"publisher":"Institution of Engineering and Technology (IET)","issue":"1","license":[{"start":{"date-parts":[[2025,7,16]],"date-time":"2025-07-16T00:00:00Z","timestamp":1752624000000},"content-version":"vor","delay-in-days":196,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["ietresearch.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["IET Software"],"published-print":{"date-parts":[[2025,1]]},"abstract":"<jats:p>Image transformation is performed for basic image generation and color correction. In many applications, images are used for visual analysis or mainly for creating content. Similarly, stylized transformation is a process of transforming images into art\u2010based content. To perform this artistic rendition through the process of image\u2010stylized transformation, this article used the VGG19 classifier. The procedure begins by preprocessing both the content image and style image for reference, which includes resizing them to a maximum dimension while keeping their initial aspect ratio and transforming them into an array. The utility function reprocesses the image by clipping and normalizing pixel values. Content loss is calculated by comparing the feature maps of the derived content with the processed or stylized image generated by the model. Gradients of the loss concerning the generated image are computed and used to iteratively update the generated image. The process involves sequential display and processing of intermediate images until the process reaches 1000 iterations. In the end, the process produced a stylized image that depicts the artwork as its original counterpart.<\/jats:p>","DOI":"10.1049\/sfw2\/4145192","type":"journal-article","created":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T01:49:54Z","timestamp":1752716994000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Implementation of Neural Style Transformation Technique for Artistic Image Processing Using VGG19"],"prefix":"10.1049","volume":"2025","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5868-8542","authenticated-orcid":false,"given":"Xin","family":"Cheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9440-3416","authenticated-orcid":false,"given":"Feng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9641-7067","authenticated-orcid":false,"given":"Ali Akbar","family":"Siddique","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2143-2879","authenticated-orcid":false,"given":"Zain Anwar","family":"Ali","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"265","published-online":{"date-parts":[[2025,7,16]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJCSYSE.2019.098418"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-019-01726-2"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvcir.2022.103483"},{"key":"e_1_2_10_4_2","first-page":"26561","article-title":"Artistic Style Transfer With Internal-External Learning and Contrastive Learning","volume":"34","author":"Chen H.","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-13596-3"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.2478\/ijanmc-2022-0005"},{"key":"e_1_2_10_7_2","doi-asserted-by":"crossref","unstructured":"GuptaB. 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Clipstyler: Image Style Transfer With a Single Text Condition Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition 2022 18062\u201318071.","DOI":"10.1109\/CVPR52688.2022.01753"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2023.108723"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.3390\/app10103429"},{"key":"e_1_2_10_13_2","doi-asserted-by":"crossref","unstructured":"WenL. LiX. LiX. andGaoL. A New Transfer Learning Based on VGG-19 Network for Fault Diagnosis 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2019 IEEE 205\u2013209.","DOI":"10.1109\/CSCWD.2019.8791884"},{"key":"e_1_2_10_14_2","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics11122208"},{"key":"e_1_2_10_15_2","volume-title":"An Improved VGG-19 Network Induced Enhanced Feature Pooling for Precise Moving Object Detection In Complex Video Scenes. IEEE Access","author":"Sahoo P. 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