1995
DOI: 10.1109/76.475889
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A perceptually tuned subband image coder based on the measure of just-noticeable-distortion profile

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Cited by 559 publications
(47 citation statements)
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“…The consistency between the proposed criteria and the subjective evaluation is clearly identified in the figure. In this paper, we employed three performance indicators between the predicted objective scores after nonlinear regression and subjective scores to evaluate the proposed metrics, which are [42]: the Pearson Correlation Coefficients (PLCC), Spearman Rank Order Correlation Coefficient (SROCC), and Rooted Mean Squared Error (RMSE). Among these indicators, PLCC and RMSE, shown in (5) and (6), reflect the predicted accuracy of objective evaluation criteria, and SROCC, shown in (7), is used to assess prediction monotonicity.…”
Section: Experimental Results and Analysismentioning
confidence: 99%
“…The consistency between the proposed criteria and the subjective evaluation is clearly identified in the figure. In this paper, we employed three performance indicators between the predicted objective scores after nonlinear regression and subjective scores to evaluate the proposed metrics, which are [42]: the Pearson Correlation Coefficients (PLCC), Spearman Rank Order Correlation Coefficient (SROCC), and Rooted Mean Squared Error (RMSE). Among these indicators, PLCC and RMSE, shown in (5) and (6), reflect the predicted accuracy of objective evaluation criteria, and SROCC, shown in (7), is used to assess prediction monotonicity.…”
Section: Experimental Results and Analysismentioning
confidence: 99%
“…First, the HVS is more sensitive to changes in midluminance areas Ref. 16. That is, to maintain the quality of the marked image, assigning greater value of the scaling factor ␣ m for the midluminance areas is desirable.…”
Section: Determination Of Scaling Factor ␣ M Andmentioning
confidence: 98%
“…2. Second, because the HVS is less sensitive to changes made in highly textured regions, 16 it is therefore helpful to use lower value for the scaling factor in textured regions.…”
Section: Determination Of Scaling Factor ␣ M Andmentioning
confidence: 99%
“…The pixel-based JND threshold in [10,11] is determined by two factors, background brightness masking and spatial contrast masking. Yang's JND model [12] is an improvement of the JND model in [11], which deduces the overlap effect between the background brightness masking and the spatial contrast masking, and obtains a more accurate JND model.…”
Section: Jnd Estimationsmentioning
confidence: 99%