Title:
IMAGE COMPRESSION USING METHOD ON DCT (DISCRETE COSINE TRANSFORM) LOW RESOLUTION CAMERA

Authors:
Yohanes Pracoyo Widi Prasetyo

Abstract:
Image compression remains a material for analysis in discussions and challenges are always tested for the level of optimization all the time because any image that is visually visible to the human eye needs to be shared and transmitted to others. In this transmission process, you will be faced with speed constraints and the similarity of information contained in the source image. The process of transferring data between digital devices is demanded to have high speed and small file size for reasons of saving storage space. The low resolution camera type is chosen to save the infrastructure cost user and the maintenance cost is quite low, but it is still optimal for use in surveillance camera applications, webcams and area detection cameras that do not require moving image capture. The DCT (method was Descret Cosine Transform) chosen because it has tested its optimization level in image compression. In the simulation with Mat Lab, it can be seen that the image blocks are separated to be quantified and processed by the encoder by performing a re-construction. This will result in a smaller image file size than the source image file without losing too much information in the image.

Keywords:
image compression, DCT, resolution

DOI:
http://dx.doi.org/10.37500/IJESSR.2021.4302