In this paper, an efficient image codec is proposed using Magnetic Resonance Images (MRI). During the past few years, frequency domain analyzes such as Discrete Cosine Transform and Discrete Wavelet Transform (DWT) have been widely used in the field of image compression due to their well localized property of its coefficients in both frequency and space domain. This work also deals with image compression based on frequency domain transformation. As the medical images are very important for diagnosis, they require lossless compression to store them. However, the coefficients of DWT are real numbers; lossless compression cannot be achieved. To overcome this limitation, a variant of DWT named Lifting Wavelet Transform (LWT) is utilized in the proposed system. The proposed codec is applied on the decomposed image. The codec has also been synthesized using FPGA and the results are compared with simulation results and verified.

在本文中，提出了一种使用磁共振图像（MRI）的有效图像编解码器。在过去的几年中，诸如离散余弦变换和离散小波变换（DWT）之类的频域分析由于其系数在频域和空域中的局部性好而在图像压缩领域得到了广泛应用。这项工作还涉及基于频域变换的图像压缩。由于医学图像对于诊断非常重要，因此需要无损压缩才能存储它们。然而，DWT的系数是实数；无法实现无损压缩。为了克服此限制，在建议的系统中使用了DWT的一种变体，即提升小波变换（LWT）。建议的编解码器应用于分解后的图像。