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A review of image features extraction techniques and their applications in image forensic
In these modern days, digital images become prominent information on the Internet and Social Media. The images can have a number of features with...
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Image Features: Extraction and Categories
We introduce feature-based image classification. Extracted features reduce the data of an image by several orders of magnitude. Ideally, they...
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Super-resolution reconstruction of single image for latent features
Single-image super-resolution (SISR) typically focuses on restoring various degraded low-resolution (LR) images to a single high-resolution (HR)...
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Scalable image coding with enhancement features for human and machine
The past decade has seen significant advancements in computer vision technologies, resulting in an increasing consumption of images and videos by...
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Integrating grid features and geometric coordinates for enhanced image captioning
The objective of image captioning is to provide precise descriptions of depicted objects and their relationships. To perform this task, previous...
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Screen content image quality measurement based on multiple features
With the increasing use of multimedia devices, the demand for Screen Content Images (SCIs) has surged. However, the transmission process inevitably...
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Image aesthetics assessment using composite features from transformer and CNN
As a popular research problem in computational aesthetics, image aesthetic assessment has many important applications in image editing, retrieval,...
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Content-based medical image retrieval using fractional Hartley transform with hybrid features
Content-Based Medical Image Retrieval is used to extract meaningful information from a large number of medical images. To extract image texture...
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Integration of local and global features for image retargeting quality assessment
This paper presents a new objective retargeting quality assessment method based on the integration of global and local features by a Gaussian...
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Aggregating Deep Features of Multi-CNN Models for Image Retrieval
Convolutional neural network (CNN) models have certain advantages in various applications, including image retrieval and object recognition. However,...
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Content-based image retrieval through fusion of deep features extracted from segmented neutrosophic using depth map
The main challenge of content-based image retrieval systems is the difference between how images are described using algorithms and how humans...
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Guiding image inpainting via structure and texture features with dual encoder
Image inpainting techniques have made rapid progresses in recent years. Recent advancements focus mainly on generating realistic and semantically...
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A lightweight robust image hash based on random tensors and angle features for IoT devices
Image hashing can be extensively used in image forensics, and the lightweight image hash suitable for IoT smart devices plays an important role of...
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Efficient rotated and scaled digital image retrieval model using deep learning-based hybrid features extraction
The previous couple decades have seen extensive study in digital image recovery. Content-based image retrieval finds intellectually and aesthetically...
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A DCT-based multiscale framework for 2D greyscale image fusion using morphological differential features
Image fusion refers to the process of synergistic combination of useful sensory information from multiple images to synthesize a composite image with...
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When dual contrastive learning meets disentangled features for unpaired image deraining
As the basis work of image processing, rain removal from a single image has always been an important and challenging problem. Due to the lack of real...
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MFAF-Net: image dehazing with multi-level features and adaptive fusion
Hazy images often cause blurring, detail loss and color distortion, which makes it difficult to address the other visual tasks such as tracking,...
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Effective features in content-based image retrieval from a combination of low-level features and deep Boltzmann machine
Image retrieval is a convenient way to browse and search for a set of similar images. The main challenge of Content-based Image Retrieval (CBIR)...
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Image encryption algorithm based on face recognition, facial features recognition and bitonic sequence
Traditional scrambling algorithms frequently rely on static and fixed scrambling modes, which lack the involvement of chaotic sequences during the...
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Blind Color Image Watermarking Using Deep Artificial Neural Network Using Statistical Features
With increasing digital content over the internet it is very important to secure the digital contents in such a way that the identity and integrity...
