Sep 15, 2024 · In this paper, an end-to-end compression and reconstruction algorithm with an attention-enhanced residual module and a quantization mechanism is proposed. The method is based on the CNN autoencoder, which performs compression and reconstruction in the encoding and decoding of the bottleneck network.

Löhdefink et al. proposed an ROI-based image-compression algorithm that focuses on the reduction of overall data size. The ROI is defined using a binary mask which uses semantic segmentation networks to extract important information.

Oct 25, 2000 · If compression is the main goal of the algorithm, an image is represented using a lower number of bits per pixel, without losing the ability to reconstruct the image.

this technique for their applications, (2) develop image compression techniques based on the Pixon method, and (3) develop artificial intelligence algorithms for image classification based on the Pixon approach for simplifying neural networks.

May 1, 2022 · In this paper, we have introduced and demonstrated a new compression algorithm and demonstrated its superior quality through a direct comparison with the JPEG technique for 3D mesh reconstruction from structured light images and …

Jun 1, 2022 · The paper shows compression of images and faithful reconstruction using four CS based algorithms. The result analysis shows the Basis Pursuit algorithm works well for low sparse images whose value of K is close to N.

Oct 10, 2024 · To solve the urgent problems faced by massive image data in information transmission, this paper proposes a high-quality image compression algorithm based on unsupervised learning.

In this paper, we propose an end-to-end learned im-age compression framework for low-rate scenarios. Based on variational autoencoder, our method features a pair of compact-resolution and super-resolution networks, a set of hyper and main codec networks, and …

Jun 1, 2021 · In this paper, based on the analysis of PCA algorithm dimension reduction, reconstruction, feature extraction principle, the PCA algorithm is applied to image compression and reconstruction.

In this work, we propose an adaptive image compression technique for still images using irreversible methods. After the selection of regions of interest, the approach consists in applying wavelet compression to these regions and classical JPEG image compression with losses to the context of the image.