In this book it is being attempted to implement basic JPEG compression using only basic MATLAB functions. Here we use the lossy compression technique where data loss can not effect the image clarity in this area. JPEG image compression addresses the problem of reducing the amount of data required to represent a digital image. It is also used for reducing the redundancy that is nothing but avoiding the duplicate data. It is also used for reduce the storage compression area to load an image, for this purpose we are using JPEG. This book describes the successful implementation of JPEG image compression by using the MATLAB software.
| Autorius: | Kavita Jindal, Sonia Goyal, Kavita Singh, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2012 |
| Knygos puslapių skaičius: | 56 |
| ISBN-10: | 384733980X |
| ISBN-13: | 9783847339809 |
| Formatas: | 220 x 150 x 4 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Optimal compression using discrete cosine transformation in matlab: Discrete cosine transform method for optimal compression“
