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Effects of Image Compression on Image Age Approximation
In-field sensor defects are at the core of temporal image forensics, as a temporal order among pieces of evidence can be established by knowing their...
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Dual image based secured reversible data hiding scheme exploiting huffman compression tree combining bit-reversal permutation technique
In the area of data hiding and information security, the greater need is to ensure high embedding capacity of the stego media without hampering the...
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Intelligent Image Compression Using Traffic Scene Analysis
The quantity of images generated at the edge of the Cloud is growing year-on-year, which puts an increasing strain on existing telecommunications...
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Medical images lossless recovery based on POB number system and image compression
To protect the information integrity of the medical images, this paper proposes a secure lossless recovery scheme for medical images based on image...
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An Analysis of Image Compression Using Neural Network
Image compression belongs to the area of data compression because the image is itself made up of data and the task of compressing images has become...
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Towards 360\(^{\circ }\) image compression for machines via modulating pixel significance
The rapid growth of computer vision-based applications, including smart cities and autonomous driving, has created a pressing demand for efficient 360
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Parallel fractal image compression using quadtree partition with task and dynamic parallelism
Fractal image compression is a lossy compression technique based on the iterative function system, which can be used to reduce the storage space and...
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Semantic-oriented learning-based image compression by Only-Train-Once quantized autoencoders
Accessibility to big training datasets together with current advances in computing power has emerged interest in the leverage of deep learning to...
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End-to-end image compression method based on perception metric
In recent years, image compression methods based on deep learning have received extensive attention and research. Most methods focus on minimizing...
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Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT
This article presents a recent blind and robust fingerprint image watermarking scheme based on a two-dimensional discrete cosine transform (2D-DCT)....
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A Block-Wise SVD Approach for Simultaneous ROI Preservation, Background Blurring, and Image Compression
This research introduces a novel approach to object detection and image processing, emphasizing precision in object detection and region of interest...
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Low complexity image coding technique for hyperspectral image sensors
Memory management and coding complexity are the major challenging issues of any hyperspectral image sensor. The hyperspectral image compression...
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Enhancing GAN Compression by Image Probability Distribution Distillation
This paper presents a novel approach named Image Probability Distribution Distillation (IPDD) for compressing generative adversarial networks (GANs)...
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3D-listless block cube set-partitioning coding for resource constraint hyperspectral image sensors
The hyperspectral image provides rich spectral information content, which facilitates multiple applications. With the rapid advancement of the...
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A new method of facial image compression based on meta-heuristic algorithms with variable bit budget allocation
One of the important research areas in imaging is the formation of images, which plays an important role in many different applications, including...
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Cloud-decryption-assisted image compression and encryption based on compressed sensing
In this paper, we propose a new image compression and encryption scheme (ICES) based on compressed sensing (CS) and double random phase encoding...
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CESCAL: A joint compression-encryption scheme based on convolutional autoencoder and logistic map
In the modern digital world, it is getting harder to share voluminous data with high dimensions, over the internet with adequate security. Images...
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Fractional wavelet filter based low memory coding for hyperspectral image sensors
In the present study, a novel low memory coding algorithm for lossless image compression of hyperspectral images is proposed. The hyperspectral...
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Implicit Neural Representations for Image Compression
Implicit Neural Representations (INRs) gained attention as a novel and effective representation for various data types. Recently, prior work applied...
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LMDC: Learning a multiple description codec for deep learning-based image compression
Although deep learning technique has been widely leveraged to compress image, few attentions are paid to multiple description (MD) coding based on...
