Search
Search Results
-
Seam carving based on dynamic energy regulation
Seam carving algorithm is widely used in content-based image scaling. By calculating the energy map of the image, it repeatedly removes the pixel...
-
A New Seam Carving Method for Image Resizing Based on Entropy Energy and Lyapunov Exponent
One of the most popular techniques in the field of image retargeting or content-aware resizing a digital image is the seam-carving technique. The...
-
Analysis of seam carving technique: limitations, improvements and possible solutions
Nowadays, many efficient content-aware image resizing techniques are being used to safeguard the prominent regions of the image so that aesthetically...
-
Improved seam carving for structure preservation using efficient energy function
To reduce the consumption of power and making the handling of display devices easy the manufacturers are reducing the size of the screen. To fit the...
-
Seamless Image Editing for Perceptual Size Restoration Based on Seam Carving
Thing of interest (ToI) in a photograph may be perceived as smaller than being perceived from the real scene due to the discrepancy between the...
-
An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks
Seam carving is a computational method capable of resizing images for both reduction and expansion based on its content, instead of the image...
-
Performance analysis of seam diversion based image retargeting technique based on edge detection operators
Nowadays various resizing algorithms are being used to resize the images in a content-aware fashion. The seam diversion-based image retargeting...
-
CamCarv - Expose the Source Camera at the Rear of Seam Insertion
It is well known that photo response non-uniformity (PRNU) noise based source attribution helps to verify the camera used to take an image. Recent...
-
A new content-aware image resizing based on Rényi entropy and deep learning
One of the most popular techniques for changing the purpose of an image or resizing a digital image with content awareness is the seam-carving...
-
Deep learning-based importance map for content-aware media retargeting
We introduce a deep learning-driven framework for creating an adaptably applicable importance map (A2R-Map) that can be integrated with existing...
-
Multi-operator image retargeting with visual quality preservation of salient regions
Most of the existing content-aware retargeting algorithms are prone to introduce geometric distortions or information loss undesirably in salient...
-
A novel technique for image steganography based on maximum energy seam
Image steganography is the art of hiding information in a cover image in such a way that a third party does not notice the hidden information. This...
-
Aesthetic-aware image retargeting based on foreground–background separation and PSO optimization
Image retargeting aims at altering images’ size while preserving important content and minimizing noticeable distortions. The versatility of image...
-
Secure management of retinal imaging based on deep learning, zero-watermarking and reversible data hiding
Advances in communication and information technologies have allowed for improvements in the distribution and management of several types of imaging...
-
Multi-operator image retargeting in compressed domain by preserving aspect ratio of important contents
Content-aware image retargeting have received extensively research attentions. However, most of exiting retargeting approaches perform resizing on...
-
Answer sheet layout analysis based on YOLOv5s-DC and MSER
Layout analysis is the first step in automatic grading and other OCR tasks. Although various layout analysis technologies have been developed for...
-
Content-aware image retargeting technique and iterated function system: frameworks, applications, and possible future advancements
The objective of the image retargeting operator is to reduce the size of the image in a content-aware fashion. To strengthen the process of single...
-
A Convolutional Neural Network Based Seam Carving Detection Scheme for Uncompressed Digital Images
Revealing the processing history that a given digital image has gone through is an important topic in digital image forensics. Detection of seam...
-
Supervised deep learning for content-aware image retargeting with Fourier Convolutions
Image retargeting aims to alter the size of the image with attention to the contents. One of the main obstacles to training deep learning models for...
-
Structure preservation of image using an efficient content-aware image retargeting technique
The presence of a wide range of high- and low-resolution devices renders the images to experience changes in respect to aspect ratio and size for...
