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The increase in the number of medical exams, the need to store images resulting for those exams at a very high quality, and the introduction of teleradiology result in an overwhelm increase in storage and distribution costs of medical images. In this paper we propose a method using JPEG 2000 in the lossless or near lossless modes to encode medical images, in order to reduce image storage costs and...
Compression artifacts are the results of an aggressive data compression scheme applied to an image that discards some data which is determined by an algorithm to be of lesser importance to the overall content but which is nonetheless discernible and objectionable to the user. In this paper we present a post-processing algorithm that focus on restoring the clarity of edges and removing the compression...
In this paper, the discrete cosine transform domain (DCT domain) watermarking technique for copyright protection of still digital images is analyze and new watermarking method with dual detection is proposed. The DCT is applied in blocks of 8 times 8 pixels as in the JPEG algorithm. Previous DCT domain watermarking schemes proved to be very resilient against many attacks except for the geometric attack,...
Compression artifacts are the results of an aggressive data compression scheme applied to an image that discards some data which is determined by an algorithm to be of lesser importance to the overall content but which is nonetheless discernible and objectionable to the user. In this paper we present a progressive algorithm that focus on preserving the clarity of important image features, such as...
This paper proposes a system applying a pyramid neural network for classifying the hepatic parenchymal diseases in ultrasonic B-scan texture. The conventional multilayer neural network emphasizing on the data carried by the last hidden layer has the drawback of not fully utilizing the information carried by the input data. A pyramid network can solve the problem successfully. To solve the common problem...
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