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76
Reinstating Floyd-Steinberg: Improved Metrics for Quality Assessment of Error Diffusion Algorithms
"... Abstract. In this contribution we introduce a little-known property of error diffusion halftoning algorithms which we call error diffusion displacement. By accounting for the inherent sub-pixel displacement caused by the error propagation, we correct an important flaw in most metrics used to assess ..."
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Cited by 2 (0 self)
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-based metrics for this quality assessment. Finally, we use the properties of error diffusion displacement to justify Floyd and Steinberg’s well-known choice of algorithm coefficients.
A NOVEL CRYPTOGRAPHIC TECHNIQUE THAT EMPHASIS VISUAL QUALITY AND EFFICIENY BY FLOYD STEINBERG ERROR DIFFUSION METHOD
"... Visual cryptography is a cryptographic technique which allows visual information to be encrypted in such a way that decryption becomes a mechanical operation that does not require a computer. The original image can be split into shares, where unauthorized person cannot get the data which we hide wit ..."
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security and to produce meaningful shares. Halftone visual cryptography (VC) encodes a secret image into k halftone meaningful image shares through Floyd Steinberg error diffusion algorithm. The algorithm achieves dithering using error diffusion, meaning it pushes (adds) the residual quantization error
A similarity metric for assessment of image fusion algorithms
- International Journal of Signal Processing
, 2005
"... Abstract — In this paper, we present a novel objective non-reference performance assessment algorithm for image fusion. It takes into account local measurements to estimate how well the important information in the source images is represented by the fused image. The metric is based on the Universal ..."
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Cited by 18 (3 self)
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Abstract — In this paper, we present a novel objective non-reference performance assessment algorithm for image fusion. It takes into account local measurements to estimate how well the important information in the source images is represented by the fused image. The metric is based
A Multiscale Color Error Diffusion Algorithm for Color Quantization
"... This paper presents a new multiscale vector error diffusion algorithm for color quantization. This iterative algorithm selects a pixel, color-quantizes it and then diffuses the quantization error with a non-causal filter at each iteration until all pixels are color-quantized. By doing so, directiona ..."
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This paper presents a new multiscale vector error diffusion algorithm for color quantization. This iterative algorithm selects a pixel, color-quantizes it and then diffuses the quantization error with a non-causal filter at each iteration until all pixels are color-quantized. By doing so
A Multiscale Metric for 3D Mesh Visual Quality Assessment
"... Many processing operations are nowadays applied on 3D meshes like compression, watermarking, remeshing and so forth; these processes are mostly driven and/or evaluated using simple distortion measures like the Hausdorff distance and the root mean square error, however these measures do not correlate ..."
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metric to the improvement of rate-distortion evaluation of recent progressive compression algorithms.
A novel metric for performance evaluation of image fusion algorithms
- Transactions on Engineering, Computing and Technology
, 2005
"... Abstract—In this paper, we present a novel objective nonreference performance assessment algorithm for image fusion. It takes into account local measurements to estimate how well the important information in the source images is represented by the fused image. The metric is based on the Universal Im ..."
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Cited by 4 (0 self)
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Abstract—In this paper, we present a novel objective nonreference performance assessment algorithm for image fusion. It takes into account local measurements to estimate how well the important information in the source images is represented by the fused image. The metric is based on the Universal
Perceptual Metrics for JPEG Images
"... Introduction JPEG is a standard compression algorithm used to reduce memory requirement for the storage of digital images. The JPEG standard allows to specify the desired quality of the encoded image by varying a quality factor (QFactor) between 0 (lowest quality) and 100 (perfect image- no compres ..."
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- no compression) . It is of interest to be able to assess the quality of a JPEG image. A common and very effective way for that is to use the mean square error (MSE) metric to compute the distortion caused by encoding. This metric has proven very powerful and yields very good results. Several questions can
A Subjective Study to Evaluate Video Quality Assessment Algorithms
"... Automatic methods to evaluate the perceptual quality of a digital video sequence have widespread applications wherever the end-user is a human. Several objective video quality assessment (VQA) algorithms exist, whose performance is typically evaluated using the results of a subjective study performe ..."
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Cited by 3 (0 self)
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of the Video Quality Metric (VQM) and the Multi-Scale Structural SIMilarity (MS-SSIM) index is noteworthy. The LIVE Video Quality Database is freely available for download 1 and we hope that our study provides researchers with a valuable tool to benchmark and improve the performance of objective VQA algorithms.
Objective Image Quality Assessment of Texture Compression
"... Texture compression is widely used in real-time rendering to reduce storage and bandwidth requirements. Recent research in compres-sion algorithms has explored both reduced fixed bit rate and vari-able bit rate algorithms. The results are evaluated at the individual texture level using Mean Square E ..."
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Cited by 1 (0 self)
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from both geometric mapping of textures onto models and the effects of combining different textures on the same model such as diffuse, gloss and bump maps. We evaluate final rendered images using rigorous perceptual error metrics. Our method samples the space of viewpoints in a scene, renders the scene
Processing, ICIP'2010}, year = {2010}} A MULTI-PURPOSE OBJECTIVE QUALITY METRIC FOR IMAGE WATERMARKING
"... Knowing that the watermarking community use simple statistical quality metrics in order to evaluate the watermarked image quality, the authors have recently proposed a simplified objective quality metric (OQM), called “CPA”, for watermarking applications. The metric used the contrast sensitivity fun ..."
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function, along with an adapted error pooling, and proved to perform better than state-of-the-art OQMs. In this work, we intend to improve the performance of the CPA metric. The new metric includes the most important steps of Human Visual System (HVS) based quality metric, namely spatial frequency
Results 1 - 10
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