Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 75 for “"PSNR"”.
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Wavelet-based Image Compression Using Human Visual System Models
… solely in terms of peak signal-to-noise ratio (PSNR) and compression algorithms are optimized for this quantitative metric. The performance in terms of subjective quality is typically not evaluated. Moreover, the sensitivities of the human visual system (HVS) are often not incorporated into …
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A comparative study of watermarking techniques in spatial and frequency domains
… proposed method was done in MATLAB, using the PSNR, MSE, and SSIM, as simulation parameters. The efficiency of the method that was based on the robustness and imperceptibility of the watermarked image was determined through the values of the PSNR, MSE, and SSIM. The PSNR of the LSB, the DWT, …
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Comparison of data hiding using LSB and DCT for image
… stego images from LSB and DCT are compared using PSNR. Results from these experiments show that 75% of the stego images hidden using LSB has shown higher PSNR values than stego images hidden using DCT. This means that the stego image hidden using LSB has shown a much closer similarity to the cover …
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Steganography-based secret and reliable communications: Improving steganographic capacity and imperceptibility
… and explained. Since peak signal-to-noise ratio (PSNR) is extensively used as a quality measure of stego images, the reliability of PSNR for stego images was also evaluated in the work described in this thesis. Finally, to eliminate any detectable traces that traditional steganography may leave in …
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Soft N-modular redundancy: exploiting statistics for robust computation
… over TMR at the same peak signal-to-noise ratio (PSNR) of 20 dB. In addition, soft dual-MR (DMR) provides a 2x improvement in robustness and a 35% power savings over TMR at the same PSNR of 20 dB. An FPGA implementation of the 2-D DCT showed that hardware emulation results match the RTL …
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Image Compression Using Balanced Multiwavelets
… in terms of peak signal-to-noise ratio (PSNR). In a multiwavelet transform, the balancing order of the multiwavelet is indicative of its energy compaction efficiency (usually a higher balancing order implies lower mean-squared-error, MSE, in the compressed image). But a high balancing …
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A comparison of discrete cosine transform and discrete wavelet transform algorithm in watermarking against common attacks
… with regard to peak signal to noise ratio (PSNR), Mean Square Error (MSE) and Normalized Correlation (NC). The PSNR value of the watermarked Lena image in DWT is 47, higher than the DCT which is 44. The Normalized Correlation (NC) also had clarified that the extracted watermark in DWT 0.9964 …
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A robust gan-based model for low-light image enhancement and human detection on mobile devices
… lighting inputs. The results obtained were 25.15 PSNR and 0.909 SSIM using the LOLv1 dataset, and a different result of 28.04 PSNR and 0.905 SSIM using the surveillance-oriented dataset, both showing good results. Furthermore, testing using the YOLOv12 model revealed certain errors when attempting …
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Scalable video transportation using look ahead scheduling
… video stream without compromising the average Y-PSNR. The LASA is also extended to support muti-server scalable video streaming. The performance evaluation is investigated by using a network simulation tool. This thesis also presents the weighted multi-playback buffer management system for …
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Adaptive format conversion information as enhancement data for the high-definition television migration path
… was compressed to 0.3 bpp, the mean base layer PSNR was 32 dB and the PSNR improvement due to the enhancement layer was as high as 4 dB. Second, what is the optimal tradeoff between base layer and enhancement layer bandwidth? With the total bandwidth fixed at 0.32 bpp, it was found that the …
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Significance-linked connected component analysis+ for wavelet image coding
… bit/pixel, SLCCA+ outperforms SLCCA by 0.1 dB in PSNR. This outstanding performance is achieved without using any optimal bit allocation procedure. Thus both the encoding and decoding procedures are fast.
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Study of QoE for DASH at Sub-representational Level
… operating point for a given spatial quality i.e. PSNR. In this work we use frame visual significance metric and frame loss induced distortion metric to drive a DASH sub-representational scheme that offers a spatio-temporal QoE tradeoff at a much finer granular scale. By comparing with a typical …
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Self-supervised multi-contrast MRI denoising
… and Noise2Self in Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM). These results underscore the potential of self-supervised learning to improve multi-contrast MRI image quality.
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A Vlsi architecture for lifting-based wavelet packet transform in fingerprint image compression
… by LS is completely acceptable (with 30dB∼40dB PSNR at a target bit rate of 0.75dpp) while fewer operations required. In particular, to compare with FB, the hardware consumption, for our WSQ application, is reduced to half due to the LS. Moreover, this architecture can be easily configured to …
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Unrolling of Graph Total Variation for Image Denoising
… This method outperformed DnCNN by up to 3dB in PSNR in statistical mistmatch case.
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Hardware Implementation of a Novel Image Compression Algorithm
… the JPEG in terms of Peak Signal to Noise Ratio (PSNR) for a given compression ratio and computational complexity. Advantages of this idea over JPEG are also presented in this thesis.
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Fast Schemes for Video Denoising and Compressed Domain Image Size Change
… transform. Huge gains in perceptual quality and PSNR are obtained with much less computation. We also provide an analysis of the aliasing effects of our scheme. Further, we describe how this scheme can be applied to spatially scalable video compression.
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A robust digital image watermarking using repetition codes against common attacks
… calculated using Peak Signal-To-Noise Ratio (PSNR), Mean Squared Error (MSE) and Normalized Correlations (NC). In our experiments, the results show that the robustness of a watermark with repetition codes is much better than without repetition codes
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Improving Extreme Low-light Image Denoising via Residual Learning
… one setting we achieved 29x speedup with higher PSNR. Subjectively, our method provides better color reproduction and preserves more detailed texture information compared to state of the art methods.
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POCS Augmented CycleGAN for MR Image Reconstruction
… in terms of higher peak signal-to-noise ratio (PSNR) and higher Structural Similarity Index (SSIM).
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