Abstract: A manufacturing method of an electronic element module is provided. The method includes: disposing a plurality of first micro-light-emitting diodes on a first temporary substrate; and replacing at least one defective micro-light-emitting diode of the first micro-light-emitting diodes with at least one second micro-light-emitting diode. The first micro-light-emitting diodes and at least one second micro-light-emitting diode are distributed on the first temporary substrate. The first micro-light-emitting diodes and at least one second micro-light-emitting diode have same properties, and at least one of the appearance difference, the height difference and the orientation difference exists between the first micro-light-emitting diodes and at least one second micro-light-emitting diode. A semiconductor structure and a display panel are also provided.

Abstract: An apparatus and a method for temporary storage of image-encoding data are provided. The apparatus for temporary storage of image-encoding data is utilized for high-resolution image encoding, wherein the apparatus includes an image sensing unit, a storage unit, and an encoding unit. The image sensing unit creates a plurality of frame data in successive order. Each frame data is composed of a plurality of macroblock row data. The storage unit includes a first storage portion and a second storage portion. The capacities of the first storage portion and the second storage portion are both a positive integral multiple of the size of the macroblock row data. The storage unit receives the macroblock row data from the image sensing unit and writes the macroblock row data into one of the first storage portion and the second storage portion.

Abstract: A data compression system and a data compression method using the same are provided. The data compression method includes acquiring original data from a memory and performs image processing and quantization on the original data to transform the original data into a quantization matrix. The data compression method then transforms the quantization matrix into a digital sequence based on a coding table and compares the data volume of the digital sequence and a target volume to generate a volume difference. The data compression method transforms the digital sequence into an inverse quantization matrix based on the volume difference and then transforms the inverse quantization matrix into a modified digital sequence based on the volume difference. The data compression method repeats the processes until the data volume of the digital sequence is substantially equal to a target volume or within an acceptable range of the target volume.

Abstract: An apparatus and a method for temporary storage of image-encoding data are provided. The apparatus for temporary storage of image-encoding data is utilized for high-resolution image encoding, wherein the apparatus includes an image sensing unit, a storage unit, and an encoding unit. The image sensing unit creates a plurality of frame data in successive order. Each frame data is composed of a plurality of macroblock row data. The storage unit includes a first storage portion and a second storage portion. The capacities of the first storage portion and the second storage portion are both a positive integral multiple of the size of the macroblock row data. The storage unit receives the macroblock row data from the image sensing unit and writes the macroblock row data into one of the first storage portion and the second storage portion.

Abstract: A data compression system and a data compression method using the same are provided. The data compression method includes acquiring original data from a memory and performs image processing and quantization on the original data to transform the original data into a quantization matrix. The data compression method then transforms the quantization matrix into a digital sequence based on a coding table and compares the data volume of the digital sequence and a target volume to generate a volume difference. The data compression method transforms the digital sequence into an inverse quantization matrix based on the volume difference and then transforms the inverse quantization matrix into a modified digital sequence based on the volume difference. The data compression method repeats the processes until the data volume of the digital sequence is substantially equal to a target volume or within an acceptable range of the target volume.