Abstract: The data processing method and system provided in the present specification may use an encoding convolution kernel to perform an encoding spectrum-adjustment on an original frame in original data when compressing the original data, so that the amplitude of the intermediate-frequency to high-frequency region in the original frame may be smoothly reduced, thereby reducing the data information in the original frame and improve the encoding efficiency. Thus, the compressed data volume is reduced. When the method and system are employed to decompress a compressed frame, a decoding convolution kernel may be used to perform a decoding spectrum-adjustment on the compressed frame, where the decoding convolution kernel corresponds to the encoding convolution kernel, so as to restore the data in the compressed frame and obtain a decompressed frame. The method and system may improve data compression efficiency and transmission efficiency.

Abstract: Methods and devices are described for losslessly watermarking an audio signal by performing a noise shaped quantisation and clipping the output from the noise shaped quantisation to bounds computed by a pair of quantised linear functions with gradient 0.5 of the input to the noise shaped quantisation. Corresponding methods and devices are also described for inverting the process to recover an exact replica of the original audio signal.

Abstract: An example of an information processing system includes a plurality of information processing terminals and a server. One terminal outputs an inaudible sound, thereby transmitting a user ID to the other terminal. The other terminal senses the inaudible sound and distinguishes the user ID of the one terminal in accordance with the inaudible sound. Based on the distinguished user ID, the other terminal acquires user information from the server and displays the acquired user information. The other terminal transmits a friend request to the server. When receiving friend requests from both terminals, the server stores the user IDs of both terminals in association with each other.

Abstract: An example of an information processing system includes a plurality of information processing terminals and a server. One terminal outputs an inaudible sound, thereby transmitting a user ID to the other terminal. The other terminal senses the inaudible sound and distinguishes the user ID of the one terminal in accordance with the inaudible sound. Based on the distinguished user ID, the other terminal acquires user information from the server and displays the acquired user information. The other terminal transmits a friend request to the server. When receiving friend requests from both terminals, the server stores the user IDs of both terminals in association with each other.

Abstract: An image inspection apparatus for inspecting an output image on a recording medium by scanning the output image as a scanned image includes an inspection reference image generator to generate an inspection reference image using data of an output-target image; an image inspection unit to determine whether the scanned image includes a defect by comparing a difference between the inspection reference image and the scanned image with a given threshold; and a threshold determiner to determine the given threshold. The threshold determiner computes a difference between the inspection reference image and the scanned image. The threshold determiner determines the given threshold based on the difference between the scanned image and the inspection reference image.

Abstract: The present technology relates to an image processing apparatus and an image processing method, and particularly to an image processing apparatus and an image processing method capable of suppressing an increase in a load on a subject and obtaining a captured image of the subject with higher image quality. An imaging unit reduces a light amount and performs a plurality of imagings of the fundus of the eye so as to generate a plurality of fundus images. A biological information alignment processing unit aligns the fundus images by using biological information of a subject. A super-resolution processing unit superimposes an aligned input image on a previous super-resolution result image so as to generate a new super-resolution result image. The super-resolution processing unit stores or outputs the super-resolution result image in a storage unit or from an output unit, and supplies the super-resolution result image to a super-resolution result image buffer so as to be stored.

Abstract: A self-adaptive image edge correction device and method thereof, including an image fetching unit, an image processing unit, and an image output unit. Wherein, the image fetching unit is used to provide an original image, and is connected electrically to the image processing unit, that includes a sharpening filter, a superimposer, and an edge detector. The sharpening filter converts the original image into a sharpened edge image, and the superimposer superimposes the original image to the sharpened edge image, to form an enhanced image. The edge detector fetches the edge of the enhanced image, to obtain a differential edge image. The image processing unit then utilizes selectively the horizontal correction or vertical correction to correct the differential edge image, based on s deviation direction of the differential edge image, to form a corrected image, and provide it to the image output unit to output as required.