Robust Image Identification with DC Coefficients for Double-Compressed JPEG Images

Iida, Koji; Kiya, Hitoshi

doi:10.1587/transinf.2018mup0007

Cited by 10 publications

(8 citation statements)

References 17 publications

(39 reference statements)

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“…A DC coefficient DC in each block is obtained by using the following equation, where I(x, y) represents a pixel value at the position (x, y) in a block. been reported that the features extracted from DC coefficients are effective for recompression in the conventional schemes [21], [22]. Therefore, the DC coefficients are used for the identification in this paper.…”

Section: Image Identification For Jpeg Imagesmentioning

confidence: 99%

“…Regarding requirement 3, image retrieval and the identification of encrypted images have never been considered for EtC systems, although image identification and retrieval schemes that are robust against JPEG compression have been proposed for unencrypted images [21]- [25]. However, the performance of these schemes is degraded in the case of identification between encrypted images and corresponding re-encrypted images, so, to satisfy all requirements, novel image identification methods are required.…”

Section: Introductionmentioning

confidence: 99%

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Image Identification of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services

Iida

Kiya

2020

IEICE Trans. Inf. & Syst.

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We propose an image identification scheme for doublecompressed encrypted JPEG images that aims to identify encrypted JPEG images that are generated from an original JPEG image. To store images without any visual sensitive information on photo sharing services, encrypted JPEG images are generated by using a block-scrambling-based encryption method that has been proposed for Encryption-then-Compression systems with JPEG compression. In addition, feature vectors robust against JPEG compression are extracted from encrypted JPEG images. The use of the image encryption and feature vectors allows us to identify encrypted images recompressed multiple times. Moreover, the proposed scheme is designed to identify images re-encrypted with different keys. The results of a simulation show that the identification performance of the scheme is high even when images are recompressed and re-encrypted.

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Section: Image Identification For Jpeg Imagesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Image Identification of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services

Iida

Kiya

2020

IEICE Trans. Inf. & Syst.

Self Cite

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“…Can detect lines, curves, patterns in the image. Mainly used in text recognition, number recognition, speech recognition [22][23].…”

Section: Image Recognition Algorithmmentioning

confidence: 99%

Study on Modeling Method of Forest Tree Image Recognition Based on CCD and Theodolite

et al. 2020

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Forest vegetation is the main body that constitutes forest resources. Accurate identification of the types of forest trees can lay the foundation for the research and utilization of forest resources. With the development of remote sensing technology, traditional optical remote sensing can only describe the horizontal pattern of ground features, which makes it difficult to identify single tree species. Therefore, it is of great significance to study the method of forest tree image recognition. This paper mainly studies the forest image recognition system based on CCD and theodolite. In this paper, the forest image recognition system based on CCD and theodolite uses near, middle, and far CCD cameras to detect the infrared radiation of the target and collect the target image. The image processing algorithm is designed for the image processing module, and the flow chart of the image processing algorithm is given. The processing function has designed the interface of the image processing module. The image processing module can extract the main information of the target from simple background and complex background. In this paper, an experimental optical path is built, the forest image recognition simulation platform is verified, and the data obtained from the experiment is processed. The implemented color detection algorithm can achieve a detection accuracy rate of more than 91% for forest tree image recognition detection. The test results show that the image acquisition, transmission and display functions of the camera system realized by this subject are normal, and the system can achieve accurate recognition of the target.

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“…The range of the DC coefficients is [-1024,1016]. It has been reported that the features extracted from DC coefficients are effective for recompression in the conventional schemes [18,19]. Therefore, the DC coefficients are used for the identification in this paper.…”

Section: Image Identification For Jpeg Imagesmentioning

confidence: 99%

“…Regarding requirement 3, image retrieval and the identification of encrypted images have never been considered for EtC systems, although image identification and retrieval schemes that are robust against JPEG compression have been proposed for unencrypted images [18][19][20][21][22]. However, the performance of these schemes is degraded in the case of identification between encrypted images and corresponding re-encrypted images, so, to satisfy all requirements, novel image identification methods are required.…”

Section: Introductionmentioning

confidence: 99%

An Image Identification Scheme Of Encrypted Jpeg Images For Privacy-Preserving Photo Sharing Services

Iida

Kiya

2019

2019 IEEE International Conference on Image Processing (ICIP)

Self Cite

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We propose an image identification scheme for double-compressed encrypted JPEG images that aims to identify encrypted JPEG images that are generated from an original JPEG image. To store images without any visual sensitive information on photo sharing services, encrypted JPEG images are generated by using a block-scramblingbased encryption method that has been proposed for Encryptionthen-Compression systems with JPEG compression. In addition, feature vectors robust against JPEG compression are extracted from encrypted JPEG images. The use of the image encryption and feature vectors allows us to identify encrypted images recompressed multiple times. Moreover, the proposed scheme is designed to identify images re-encrypted with different keys. The results of a simulation show that the identification performance of the scheme is high even when images are recompressed and re-encrypted.

show abstract

Robust Image Identification with DC Coefficients for Double-Compressed JPEG Images

Cited by 10 publications

References 17 publications

Image Identification of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services

Image Identification of Encrypted JPEG Images for Privacy-Preserving Photo Sharing Services

Study on Modeling Method of Forest Tree Image Recognition Based on CCD and Theodolite

An Image Identification Scheme Of Encrypted Jpeg Images For Privacy-Preserving Photo Sharing Services

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