期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：5
页码：1537-1554
出版社：Journal of Theoretical and Applied
摘要：Image compression comprises a method for decreasing image size. In the image compression process, the redundancy in a matrix code is removed. Compression allows data to be efficiently transmitted or stored. This paper demonstrates the integration of the spatial domain and frequency domain in resizing image dimensions according to the pixel location. For image coding, the Discrete Cosine Transform (DCT) was employed in the frequency domain. Then, for coding and compressing the image, Huffman coding was used. During the first level, quantization was employed. Before using the Huffman decoding, Dequantization was used for image decoding. This prepares the matrix for the use of the Inverse Discrete Cosine Transform (IDCT), in the frequency domain for image decoding. The new algorithm is efficient, producing a high rate in image compression.
关键词：Image Compression; Discrete Cosine Transform; quantization; Spatial Domain; Frequency Domain
