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10 articles for “SSIM”
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Invisible Watermarking on RGB Image with the Combination of 7-DWT and SVD
Abstract: In this study, we present a powerful watermarking system based on seven level discrete wavelet transform and singular value decomposition for RGB picture where R signifies red color, G indicates green color and B means blue color. It provides improved security and performance in terms of mean square error, peak signal noise ratio, structural similarity matrix, normalized cross correlation and execution time. During the experiment, we increase peak signal noise …
Published in Journal of Open Source Developments · Vol. 2, Issue 3, 2015 · pp. 12–19 Read article
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Zoom Based Image Super-Resolution: Using Two Level DWT as Feature Model
Abstract: AbstractIn this paper we present an algorithm of super-resolution (SR) imaging to reconstruct high-resolution (HR) image from sequence of low-resolution (LR) images of static scene captured at the different camera zoom factor. The resultant HR image is constructed at the resolution of the most zoomed LR image. In the proposed approach algorithm uses LR images of the static scene captured at three distinct zoom-factors. Learning based SR technique is used …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 95–105 Read article
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A Hybrid Image Codec Using Singular Value Decomposition and Adaptively Scanned Wavelet Difference Reduction Method
Abstract: AbstractIn this paper, a hybrid image codec for the gray scale images is proposed. It practices singular value decomposition (SVD) and adaptively scanned wavelet difference reduction (ASWDR) technique for compression. The proposed hybrid method retains the advantage of high peak signal to noise ratio (PSNR) value at a level of compression. The image is first compressed by SVD, which is a well-established approach to removing interpixel redundancies for reducing some …
Published in Journal of Open Source Developments · Vol. 4, Issue 1, 2017 · pp. 4–15 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 9–14 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Robust Color Image Watermarking using Biometric Protection and Image Authentication Key
Abstract: In recent days, it becomes difficult to provide protection to color images which were captured by modern capturing devices. This paper presents a novel work on copyright protection by providing authentication process for extraction of watermark of color still images. New blind frequency domain non-correlation based watermarking algorithm using one dimensional Walsh coding technique is introduced to improve the robustness. The developed algorithms do not required the original image for …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 15–23 Read article
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Embedding Dual Watermark in the G-Channel Image Using DCT and 2-D Walsh Code
Abstract: This paper uses two dimensional Walsh coding for blind twofold watermarking algorithm which mixes robust copyright watermark and authentication information into various color images to maintain the copyright ownership of the host images. First watermark i.e. fingerprint image is embedded in the DCT low frequency coefficients of the G-channel image of host image where as the second watermark i.e. mobile phone number is embedded in the DCT block of G-channel …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 27–34 Read article
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Enhanced Genetic Algorithm Applied for Image Denoising Problem
Abstract: This research introduces a new approach to restoring an image disrupted by salt and pepper (SPN) noise using a genetic algorithm (GA) at all densities, called Enhanced GA (EGA). The key contribution of the proposed algorithm is to merge the genetic algorithm with imaging approaches that are embedded into the population in order to achieve rapid convergence. The concept is to turn a group of entities into a variety of …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 3, 2020 · pp. 1–11 Read article
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A Novel Approach of Medical Image Fusion using Wavelet Transforms
Abstract: Image processing applications have been growing rapidly in real world. The term fusion means an approach to extract the useful information from several modalities. Image fusion (IF) is used to integrate the complementary information obtained from multisensor, multiview and/or multitemporal and get an image of more information and the quality of which cannot be achieved from any individual image. Different fusion algorithms are useful in many applications like medical diagnosis …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 1, 2018 · pp. 18–25 Read article
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A Multimodal Image Fusion based on NonSubsampled Contourlet Transform and Sparse Representation
Abstract: Detection of tumors in the brain is vital in diagnosis of brain cancer. Doctors suggest numerous scans like CT, MRI, PET, and SPECT for estimating the type of cancer, size and location of the tumor and the aging or spread of cancer. A single imaging technique is not sufficient for correct diagnosis of the disease. In case the scans are ambiguous, it can lead doctors to incorrect diagnosis, which can …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 12–21 Read article