EDGE-ADAPTIVE JPEG IMAGE COMPRESSION USING MATLAB

• Author(s): Dr. Thida Aung
• Paper ID: 1701559
• Page: 543-551
• Published Date: 26-08-2019
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 3 Issue 2 August-2019

Abstract

In this paper, Edge-adaptive JPEG image compression is designed and implemented. The standard JPEG is a very popular image compression method results in a good compression with low computational complexity and memory requirements. JPEG gives users the ability to take an image and compresses it with little or no noticeable quality degradation. Compression is useful method because it helps to reduce the consumption of expensive resources such as storage space or transmission bandwidth. Edge-adaptive JPEG image compression is a modified image compression of standard JPEG. This technique achieves higher visual quality and smaller image data size than standard JPEG at the same bit rate. Edge-adaptive JPEG achieves compression at variable bit rates with minimal loss in visual quality. Visual activity is measured using a canny edge detector; the image is segmented with quadtree decomposition and apply DCT (discrete cosine transform) to each of the channels. The performance of image compression is simulated and analyzed by using MATLAB

Keywords

Edge-adaptive JPEG, standard JPEG, image compression, MATLAB

Citations

IRE Journals:
Dr. Thida Aung "EDGE-ADAPTIVE JPEG IMAGE COMPRESSION USING MATLAB" Iconic Research And Engineering Journals Volume 3 Issue 2 2019 Page 543-551

IEEE:
Dr. Thida Aung "EDGE-ADAPTIVE JPEG IMAGE COMPRESSION USING MATLAB" Iconic Research And Engineering Journals, 3(2)