Supervised‐learning‐based algorithm for color image compression
نویسندگان
چکیده
منابع مشابه
Color Image Compression using SPIHT Algorithm
In recent years there has been an astronomical increase in the usage of computers for a variety of tasks. With the advent of digital cameras, one of the most common uses has been the storage, manipulation, and transfer of digital images. The files that comprise these images, however, can be quite large and can quickly take up precious memory space on the computer’s hard drive. In multimedia app...
متن کاملA Novel Color Image Compression Method Using Eigenimages
Since the birth of multi–spectral imaging techniques, there has been a tendency to consider and process this new type of data as a set of parallel gray–scale images, instead of an ensemble of an n–D realization. Although, even now, some researchers make the same assumption, it is proved that using vector geometries leads to better results. In this paper, first a method is prop...
متن کاملSelf-organized Color Image Quantization for Color Image Data Compression
This paper presents a neural network approach to image color quantization and hence image data compression. Self-organizing feature maps form a basis for general vector quantization and this is applied to the tristimulus color values of image pixels. For image telecommunication systems such as videoconferencing, it Is desirable to constrain the encoder to a single pass of the image using the no...
متن کاملAn Efficient Image Compression Algorithm to Improve The Compression-Ratio of Dual-Color Image
Success of multimedia applications demand on-line transmission of image data. This demands online compression/decompression of image data files. Spatial redundancy of an image data file are detected and removed with a simple and elegant scheme that can be easily implemented on a compression algorithm. Compression hardware having throughput that can match the capacity of high-speed data communic...
متن کاملColor Image Compression Algorithm Based on the DCT Blocks
This paper presents the performance of different block-based discrete cosine transform (DCT) algorithms for compressing color image. In this RGB component of color image are converted to YCbCr before DCT transform is applied. Y is luminance component; Cb and Cr are chrominance components of the image. The modification of the image data is done based on the classification of image blocks to edge...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ETRI Journal
سال: 2020
ISSN: 1225-6463,2233-7326
DOI: 10.4218/etrij.2018-0557