LAUSR

Block truncation coding is one of the simplest encoding methods which require insignificant computing cost to compress images. Due to the vast demand on embedding data into compressed images with low computing cost, a number of data hiding methods to improve block truncation coding have been proposed to be suitable for the low power devices such as IoT devices, field-programmable gate array, and portable image signal processor. In this paper, block truncation coding based data hiding methods will be discussed and analyzed on two key metrics - data hiding capacity and image quality - as many researchers are focusing to increase the image quality along with data hiding capacity. Here, our aim is to provide guidance to interested researchers for their future works in the field of block truncation coding based data hiding techniques. Finally, future directions of research with some suggestions will be discussed.