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IET Image Processing
Scopus
ISSN 1751-9667 · Wiley · 1.219 artikel di indeks
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Artikel Jurnal
Breaking the rain barrier: A novel approach in image processing with AMGR‐Net
Abstract Image quality is significantly impacted by rain, posing challenges in fields like surveillance, autonomous driving, and outdoor robotics. The field of image deraining, particularly for single image, has attracted considerable attention to improve image clarity in inclement weather. To…
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Artikel Jurnal
Action recognition algorithm based on skeleton graph with multiple features and improved adjacency matrix
Abstract Although graph convolutional networks have achieved good performances in skeleton‐graph‐based action recognition, there are still some problems which include the incomplete utilization of skeleton graph features and the lacking of logical adjacency information between nodes in adjacency…
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Artikel Jurnal
Deep handwritten diagram segmentation
Abstract Handwriting is a natural way to communicate and exchange ideas, but converting handwritten diagrams to application‐specific digital formats requires skill and time. Automatic handwritten document conversion can save time, but diagrams and text require different recognition engines. Since…
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Artikel Jurnal
Improving YOLOv8 with parallel frequency channel attention for taxi passengers
Abstract Detecting taxi passengers is crucial for assessing taxi driver behavior, which plays a significant role in regulating the taxi industry. Despite the advancements in deep learning, object detection algorithms have not been extensively applied to this domain. In this article, an innovative…
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Artikel Jurnal
Surface defect detection method of aluminium alloy castings based on data enhancement and CRT‐DETR
Abstract The surface quality of aluminium alloy castings is crucial to quality control. Aiming to address the challenges of limited samples and extensive computation in deep learning‐based surface defect detection for aluminium alloy castings, this paper proposes a surface defect detection method…
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Artikel Jurnal
RDMS: Reverse distillation with multiple students of different scales for anomaly detection
Abstract Unsupervised anomaly detection, often approached as a one‐class classification problem, is a critical task in computer vision. Knowledge distillation has emerged as a promising technique for enhancing anomaly detection accuracy, especially with the advent of reverse distillation networks…
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Artikel Jurnal
Bilateral fusion low‐light image enhancement with implicit information constraints
Abstract Research on low‐light image enhancement focuses on improving image quality in dim conditions. Recently, deep learning has driven significant advancements, with many studies using neural networks to enhance low‐light images. However, most focus on complex network designs to increase…
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Artikel Jurnal
Dunhuang mural inpainting based on reference guidance and multi‐scale fusion
Abstract In response to the inadequate utilization of prior information in current mural inpainting processes, leading to issues such as semantically unreliable inpaintings and the presence of artifacts in the inpainting area, a Dunhuang mural inpainting method based on reference guidance and…
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Artikel Jurnal
Anisotropic sparse transformation for spectral CT image reconstruction
Abstract Photon‐counting detector‐based computed tomography (PCD‐CT) is an advanced realization of spectral CT, the multi‐energy projection data is captured from the same object, hence, CT images can provide additional spectral resolution, making it possible to perform material decomposition…
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Artikel Jurnal
Multi‐domain pseudo‐reference quality evaluation for infrared and visible image fusion
Abstract Infrared and visible image fusion involves merging the advantages of infrared and visible images to generate a composite image that encompasses thermal radiation as well as intricate texture details. Infrared and visible image fusion has garnered increasing attention, with numerous fusion…
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Artikel Jurnal
Stegocrypt: A robust tri‐stage spatial steganography algorithm using TLM encryption and DNA coding for securing digital images
Abstract This research work presents a novel secured spatial steganography algorithm consisting of three stages. In the first stage, a secret message is divided into three parts, each is encrypted using a tan logistic map encryption key with a unique seed value. In the second stage, the encrypted…
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Artikel Jurnal
A novel target detection method with dual‐domain multi‐frequency feature in side‐scan sonar images
Abstract Side‐scan sonar (SSS) detection is a key method in underwater environmental security and subsea resource development. However, many detection approaches primarily concentrate on tracking the evolution path of optical image object detection tasks when using acoustic images, resulting in…
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Artikel Jurnal
RIHINNet: A robust image hiding method against JPEG compression based on invertible neural network
Abstract Image hiding is a task that embeds secret images in digital images without being detected. The performance of image hiding has been greatly improved by using the invertible neural network. However, current image hiding methods are less robust in the face of Joint Photographic Experts Group…
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Artikel Jurnal
Explicit–implicit symmetric diffeomorphic deformable image registration with convolutional neural network
Abstract Medical image registration is essential and a key step in many advanced medical image tasks. In recent years, medical image registration has been applied to many clinical diagnoses, but large deformation registration is still a challenge. Deep learning‐based methods typically have higher…
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Artikel Jurnal
Glaucoma detection with explainable AI using convolutional neural networks based feature extraction and machine learning classifiers
Abstract Glaucoma is an eye disease that damages the optic nerve as a result of vision loss, it is the leading cause of blindness worldwide. Due to the time‐consuming, inaccurate, and manual nature of traditional methods, automation in glaucoma detection is important. This paper proposes an…
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Artikel Jurnal
Multi‐image encryption and authentication using computational ghost imaging and singular value decomposition
Abstract The non‐local imaging characteristics of computational ghost imaging (CGI) make it widely used in the field of information security. However, the information processing method based on traditional CGI has some problems in the process of multi‐image encryption, such as low efficiency and…
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Artikel Jurnal
Information hiding using approximate POSIT representation
Abstract POSIT is a numerical system consists of sign, regime, exponential, and fraction bits to overcome some limitations of the IEEE‐754 floating point (FP) representation. This work proposes a technique to hide critical information in the least significant bits (LSBs) of the POSIT FP…
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Artikel Jurnal
Stereo matching from monocular images using feature consistency
Abstract Synthetic images facilitate stereo matching. However, synthetic images may suffer from image distortion, domain bias, and stereo mismatch, which would significantly restrict the widespread use of stereo matching models in the real world. The first goal in this paper is to synthesize…
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Artikel Jurnal
Image super‐resolution reconstruction based on implicit image functions
Abstract Image super‐resolution (SR) reconstruction is a key technique for improving image quality and details. Conventional methods are frequently limited by interpolation, filtering, or statistical approaches; thus, they are unable to reconstruct high‐quality continuously enlarged images with…
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Artikel Jurnal
Cantonese sentence dataset for lip‐reading
Abstract Lip‐reading deciphers speech by observing lip movements without relying on audio data. The rapid advancements in deep learning have significantly improved lip‐reading for both English and Chinese; however, research on dialects such as Cantonese remains scarce. Consequently, most Chinese…
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