In digital pathology diagnosis, accurate recognition and quantification of the tissue structure is an important factor for
computer-aided diagnosis. However, the classification accuracy of cytoplasm is low in Hematoxylin and eosin (HE) stained
liver pathology specimens because the RGB color values of cytoplasm are almost similar to that of fibers. In this paper,
we propose a new tissue classification method for HE stained liver pathology specimens by using hyperspectral image. At
first we select valid spectra from the image to make a clear distinction between fibers and cytoplasm, and then classify
five types of tissue based on the bag of features (BoF). The average classification accuracy for all tissues was improved
by 11% in the case of using BoF of RGB and selected spectra bands in comparison with using only RGB. In particular,
the improvement reached to 24% for fibers and 5% for cytoplasm.
KEYWORDS: Image compression, Data hiding, Image transmission, Image processing, Steganography, Data modeling, Receivers, Signal processing, Medical imaging, Computer simulations
Data hiding method called steganography has bee studied. Steganography is a method to transmit noticeable data secretly by mixing them in carefree image data. In the steganography, an image is used only as the cloak to transmit noticeable information. In this summary, we propose a method to incorporate data hiding into an adaptive lossless coding method. An adaptive coding method is effective for data compression because image signals are usually not stationary. For example, it is possible to get better coding performance by dividing an image into some blocks and by using suitable coding parameter for each block. There are two types of adaptive coding schemes, one is the method to transmit suitable coding parameters, block by block, as an overhead information, and another is the method to estimate and use parameters from already transmitted data, so that the latter does not need to transmit the coding parameters. We propose the method for data hiding in the former adaptive coding method, i.e. adaptive method with overhead information. In our proposed method, coding parameters are controlled by the embedding data and the original image data are never changed.
In this paper, we propose a new watermarking method using vector sets of wavelet coefficients. In our proposal, unlawful attacks can be detected by finding invalid vector set caused by attacks and original watermark information is not required for extracting embedded data or detecting unlawful attacks. Though the watermarking method using a pair of wavelet coefficients has been already proposed by H.S. Kim et al, the original image is needed for extracting embedded data and unlawful attacks can be never detected in their method. Therefore, the author of contents cannot strongly claim a copyright to his contents when the embedded information is lost by the attack, because even if the attack is made, the watermark information is extracted without contradiction, rightly or wrongly. We propose a new watermarking method based on vector set of wavelet coefficients. The proposed scheme does not requires the original image to extract embedded data, and can detect unlawful attacks by detecting invalid vector set caused by attacks. Simulation results show that our proposed scheme indicates good picture quality in the watermarked image and robustness to some types of image processing attacks including JPEG compression.
In this paper, we propose a watermarking method that does not requires an original image to extract embedded data. In our proposal, watermark information data are embedded by using the differences between the neighboring wavelet coefficients of the lowest band in the wavelet domain. Though such a concept have been already proposed by H.S. Kim et al., the original image is needed for extracting embedded data in their method. We developed a new scheme which does not requires the original image to extract embedded data, by modifying the embedding algorithm. Simulation results show that our proposed scheme indicates good picture quality in the watermarked image and robustness to some types of image processing attacks including JPEG compression.
Large amounts of digital contents can be easily duplicated by personal computers. Illegal copies have become serious problem in recent years. Digital watermark technology is a solution of this task, and various kind of digital watermark techniques have been proposed. In general, there are two types of digital image watermarking schemes, that is to say, one is the scheme based on spatial domain and another is the scheme based on frequency domain. In the latter scheme, wavelet transform or DCT can be used and the watermark is embedded into their coefficients. This scheme makes watermark spread out into the whole image, and therefore, gives robust behavior to the frequency domain based attack like JPEG algorithm. However, it is difficult to extract the watermark from the partial image trimmed by cutting off the original one, because the starting position of the DCT block and the cut position are not usually same. The starting position of the DCT block has to be detected in order to extract the embedded watermark from the partial image. In this paper, we propose the detection method for DCT block boundary of original image from the trimmed partial image. Embedded watermark in the DCT coefficients can be extracted by detecting the DCT block boundary of the original image, with our proposed method.
Image information service systems have been actively developed. It takes, however, very long transmission time for a multi-level image over narrow band channel, because the image information has a large amount of data. A variety of progressive or scalable transmission schemes have been proposed to reduce this disadvantage, which enable the receivers to recognize the image contents at the earlier transmission stage. Among these scalable transmission schemes, there are some schemes in which use bit plane coding techniques. These schemes have good performances because the resolution or the number of multi-levels can be improved independently. However, the effects of the half- tone representation at the earlier transmission stages are not good because of using the natural binary planes. In this paper, we propose a new scalable and lossless transmission method of multi-level images using the minimized average error method, which gives good quality of the half-tone reproduction. The simulation results show that our method gives good image quality at the first stage of the transmission.
Multimedia communication systems using super high definition (SHD) images are widely desired in various communities such as medical imagery, digital museum, digital libraries and so on. There are, however, many requirements in SHD image communication systems, because of high pixel accuracy and high resolution of a SHD image. We considered mandatory functions that should be realized in SHD image application systems, as summarized to three items, i.e, reversibility, scalability and progressibility. This paper proposes an SHD image communication systems based on reversibility, scalability and progressibility. To realize reversibility and progressibility, a lossless wavelet transform coding method is introduced as a coding model. To realize scalability, a partially decodable entropy code is proposed. Especially, we focus on a partially decodable coding method for realizing the scalability function in this paper.
KEYWORDS: Printing, Image compression, Color printing, Telecommunications, Image resolution, Digital color imaging, Data acquisition, Raster graphics, Signal processing, Error analysis
Digital color images in the printing fields are usually extra high quality images, which have many gray levels and high resolution. In order to transmit and store such images efficiently, it is needed to introduce the compression techniques. Printing color images are usually represented by 4-primary colors, such as the Cyan, the Magenta, the Yellow and the Black (Black-Ink) signals. The black signal is, however, quite different from the other three primary color signals in statistical characteristics. Such specific characteristics should be used to compress the black signals of the printing color images. In this paper, we propose a new coding scheme for the black signals of printing color images. In the proposed scheme, first, eight prediction functions including those used in JPEG spatial mode are applied for three primary color signals except the Black one. Secondly, a suitable prediction function is selected from the eight prediction functions by calculating the summation of absolute prediction errors of three primary color signals, and searching the minimum summation among the eight prediction functions. Finally, prediction errors are separately encoded by contexts of reference pixels. Simulation results show that the proposed scheme has high compression ratio for the black- ink signals.
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