CID:IQ – A New Image Quality Database

Li, Xinwei; Pedersen, Marius; Hardeberg, Jon Yngve

doi:10.1007/978-3-319-07998-1_22

Cited by 56 publications

(59 citation statements)

References 8 publications

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“…This is shown in Figure 4 for a different image. For both evaluations we used the same test images -we selected five test images from publicly available image datasets, like CID:IQ 23 , CSIQ 24 and Kodak, 25 to include wide range of lightness and hues. The size of all test images is 800x800 pixels.…”

Section: Results and Evaluationmentioning

confidence: 99%

Data Hiding by White Modulation in Color Direct Binary Search Halftones

Kitanovski¹,

Eschbach²,

Pedersen³

et al. 2017

jist

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In this paper, we propose a method for hiding a visual watermark in color printed images with arbitrary, natural content. The embedded watermark is imperceptible under normal illumination, but it is revealed under UV illumination. Our method is using the white paper fluorescence as a source of the watermark signal. The binary visual watermark is embedded by controlling the amount of fluorescence during the halftoning process, which is achieved by modulating the fractional white area of exposed paper substrate. Our method is based on the iterative Color Direct Binary Search halftoning, which ensures high quality of the printed images, and uses a suitable error metric to control the perceived distortion due to the watermark embedding. Results show that the proposed method achieves low perceptibility of the embedded watermark under normal illumination, while the watermark is easily detectable using a portable UV flashlight even in bright daylight conditions.

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Section: Results and Evaluationmentioning

confidence: 99%

Data Hiding by White Modulation in Color Direct Binary Search Halftones

Kitanovski¹,

Eschbach²,

Pedersen³

et al. 2017

jist

Self Cite

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“…The evaluation image set consisted of six images from the publicly available CID:IQ image database. 35 The six images were selected to include wide visual diversity in terms of luminance level, saturation, and texture. The size of all images is 800 × 800.…”

Section: Discussionmentioning

confidence: 99%

Orientation Modulation for Data Hiding in Chrominance Channels of Direct Binary Search Halftone Prints

Kitanovski¹,

Pedersen²

2016

jist

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Abstract. In this article, we propose a joint halftoning and data hiding technique for color images. To ensure high quality of the printed image, the color direct binary search (CDBS) iterative halftoning algorithm is used. The proposed approach uses the commonly available cyan, magenta and yellow colorants to hide data in the chrominance channels. Orientation modulation is used for data embedding during the iterative CDBS halftoning stage. The detector is using PCA-learned components to extract the embedded data from the scanned image. Experimental results show that this proposed CDBS-based data hiding method offers both higher data hiding capacity and higher robustness to the print-and-scan channel when compared to the state-of-the-art grayscale counterpart method. The relatively high correct detection rate make this approach suitable for applications which require exact extraction of embedded data in prints.

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“…1) from the Colourlab Image Database: Image Quality [58] were selected. These images are selected since they contain different characteristics; such as fine details, sharp edges, lines, texture and so on.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of image quality metrics for sharpness enhancement

Cheng

Pedersen

Chen

2017

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis

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Abstract-Image quality assessment has become a meaningful research field due to the explosive growth of image processing technologies in imaging industries. It is becoming more usual to quantify the quality of an image using image quality metrics, rather than carrying out time-consuming psychometric experiments. However, there is little research on the performance of image quality metrics on quality enhanced images. In this paper, we focus on images that have been enhanced by sharpening. A psychometric experiment was designed with observers giving scores to different images enhanced by sharpening on a display in a controlled dark environment. The results showed that full reference image quality metrics performed well when sharpening did not improve the visual image quality, while in images where sharpening increased the visual quality the performance was lower. No reference image quality metrics show better predictions than full reference image quality metrics in most cases.

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CID:IQ – A New Image Quality Database

Cited by 56 publications

References 8 publications

Data Hiding by White Modulation in Color Direct Binary Search Halftones

Data Hiding by White Modulation in Color Direct Binary Search Halftones

Orientation Modulation for Data Hiding in Chrominance Channels of Direct Binary Search Halftone Prints

Evaluation of image quality metrics for sharpness enhancement

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